Triple

T9065255
Position Surface form Disambiguated ID Type / Status
Subject Shekhan District E217228 entity
Predicate containsTown P847 FINISHED
Object Shekhan E777297 NE FINISHED

How this triple was built (2 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: Shekhan | Statement: [Shekhan District, containsTown, Shekhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shekhan
Context triple: [Shekhan District, containsTown, Shekhan]
  • A. Shekhan chosen
    Shekhan is a town in northern Iraq that serves as one of the main cultural and residential centers of the Yazidi community.
  • B. Khekra
    Khekra is a prominent town in the Baghpat district of Uttar Pradesh, India, known for its local trade and proximity to the National Capital Region.
  • C. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bc91d48190acf62afa90eec079 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fe00980819082571eccb608d605 completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:11 p.m.