Triple

T20094998
Position Surface form Disambiguated ID Type / Status
Subject Indigirka River E496375 entity
Predicate flowsThrough P225 FINISHED
Object Moma District NE NERFINISHED

How this triple was built (3 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: Moma District | Statement: [Indigirka River, flowsThrough, Moma District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moma District
Context triple: [Indigirka River, flowsThrough, Moma District]
  • A. Seo District
    Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
  • B. Nari District
    Nari District is an administrative district in eastern Afghanistan, located within Kunar Province and known for its mountainous terrain near the Pakistan border.
  • C. Shapingba District
    Shapingba District is a major urban district of Chongqing, China, known for its universities, historical sites, and role as an educational and cultural center of the city.
  • D. Dan Chang District
    Dan Chang District is an administrative district located in Suphan Buri Province in central Thailand, known for its rural landscapes and agricultural communities.
  • E. Eruh District
    Eruh District is an administrative district in southeastern Turkey known for its mountainous terrain and predominantly Kurdish population within Siirt Province.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moma District
Target entity description: Moma District is an administrative district in the Sakha Republic (Yakutia) in northeastern Russia, known for its remote Arctic landscapes and river valleys.
  • A. Seo District
    Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
  • B. Nari District
    Nari District is an administrative district in eastern Afghanistan, located within Kunar Province and known for its mountainous terrain near the Pakistan border.
  • C. Shapingba District
    Shapingba District is a major urban district of Chongqing, China, known for its universities, historical sites, and role as an educational and cultural center of the city.
  • D. Dan Chang District
    Dan Chang District is an administrative district located in Suphan Buri Province in central Thailand, known for its rural landscapes and agricultural communities.
  • E. Eruh District
    Eruh District is an administrative district in southeastern Turkey known for its mountainous terrain and predominantly Kurdish population within Siirt Province.
  • F. None of above. chosen

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666b891c8190b4e4a60b73728771 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:24 p.m.