Triple

T1184562
Position Surface form Disambiguated ID Type / Status
Subject Vanino E25214 entity
Predicate hasPortCode P24997 FINISHED
Object RUVNN
RUVNN is the international port code assigned to the seaport of Vanino in Russia.
E135713 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RUVNN | Statement: [Vanino, hasPortCode, RUVNN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RUVNN
Context triple: [Vanino, hasPortCode, RUVNN]
  • A. RU-DA
    RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
  • B. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • C. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • D. UNOV
    UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
  • E. Avully
    Avully is a small Swiss municipality located in the canton of Geneva, near the French border.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RUVNN
Triple: [Vanino, hasPortCode, RUVNN]
Generated description
RUVNN is the international port code assigned to the seaport of Vanino in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RUVNN
Target entity description: RUVNN is the international port code assigned to the seaport of Vanino in Russia.
  • A. RU-DA
    RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
  • B. RVR
    RVR is the standard abbreviation for the Reina-Valera, a widely used Spanish translation of the Bible.
  • C. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • D. UNOV
    UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
  • E. Avully
    Avully is a small Swiss municipality located in the canton of Geneva, near the French border.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPortCode
Context triple: [Vanino, hasPortCode, RUVNN]
  • A. hasPortCity
    Indicates that a place or region possesses or is associated with a city that functions as its port.
  • B. hasPortType
    Indicates that an entity is associated with, or characterized by, a specific type or category of port.
  • C. hasStationCode
    Indicates that an entity is associated with a specific station identification code.
  • D. hasAirportCodeType
    Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
  • E. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • F. None of above. chosen

Provenance (7 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd37b4a88190bb71a2d272c5fd1a completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f239a288190ae488d11cff8ebf2 completed March 7, 2026, 6:32 p.m.
NEDg Description generation batch_69ac6fea11408190b84d9fc54d4c4917 completed March 7, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69ac70592c5c8190a1f86378ec5f70a9 completed March 7, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69a4bb59ca6c81908597a81646674aaa completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bc6d5b7881908091e40c8695ef53 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:45 p.m.