Triple

T4960577
Position Surface form Disambiguated ID Type / Status
Subject Vlora E111395 entity
Predicate historicalName P65 FINISHED
Object Avlona
Avlona is the historical name of the coastal Albanian city now known as Vlora, an important port and cultural center on the Adriatic Sea.
 E482228 NE FINISHED

How this triple was built (4 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: Avlona | Statement: [Vlora, historicalName, Avlona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avlona
Context triple: [Vlora, historicalName, Avlona]
  • A. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • B. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • C. Aegiale
    Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
  • D. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • E. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • 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: Avlona
Triple: [Vlora, historicalName, Avlona]
Generated description
Avlona is the historical name of the coastal Albanian city now known as Vlora, an important port and cultural center on the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avlona
Target entity description: Avlona is the historical name of the coastal Albanian city now known as Vlora, an important port and cultural center on the Adriatic Sea.
  • A. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • B. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • C. Aegiale
    Aegiale is a figure from Greek mythology, known as one of the Heliades, the daughters of the sun god Helios.
  • D. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • E. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • F. None of above. chosen

Provenance (5 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71da80008190a0d606d5091822b8 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e7dba88190ab0f2d99a931cf0e completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be83006dac819093e3becdbc1c2925 completed March 21, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69be83614a508190b870e857436cbed2 completed March 21, 2026, 11:39 a.m.
Created at: March 20, 2026, 1:32 p.m.