Triple

T9203958
Position Surface form Disambiguated ID Type / Status
Subject Khatanga River E220921 entity
Predicate hasSettlementOnBank P1010 FINISHED
Object Novorybnaya
Novorybnaya is a small rural settlement located along the Khatanga River in the remote Arctic region of northern Siberia, Russia.
 E788531 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: Novorybnaya | Statement: [Khatanga River, hasSettlementOnBank, Novorybnaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Novorybnaya
Context triple: [Khatanga River, hasSettlementOnBank, Novorybnaya]
  • A. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • B. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • C. Timiryazevskaya
    Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
  • D. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • E. Polevskoy
    Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
  • 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: Novorybnaya
Triple: [Khatanga River, hasSettlementOnBank, Novorybnaya]
Generated description
Novorybnaya is a small rural settlement located along the Khatanga River in the remote Arctic region of northern Siberia, Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Novorybnaya
Target entity description: Novorybnaya is a small rural settlement located along the Khatanga River in the remote Arctic region of northern Siberia, Russia.
  • A. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • B. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • C. Timiryazevskaya
    Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
  • D. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • E. Polevskoy
    Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd944e6208190adfcc7f75197387d completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b96f0e88190bd80594fe3f769b8 completed April 4, 2026, 5:03 a.m.
NEDg Description generation batch_69d09ca202f88190b21b89e61b1596ff completed April 4, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:26 p.m.