Triple

T707329
Position Surface form Disambiguated ID Type / Status
Subject Kyrgyzstan E14128 entity
Predicate highestPoint P210 FINISHED
Object Jengish Chokusu E82437 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: Jengish Chokusu | Statement: [Kyrgyzstan, highestPoint, Jengish Chokusu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jengish Chokusu
Context triple: [Kyrgyzstan, highestPoint, Jengish Chokusu]
  • A. Jengish Chokusu chosen
    Jengish Chokusu is a major mountain peak in the Tian Shan range on the Kyrgyzstan–China border, known for its extreme height and challenging climbing conditions.
  • B. Great Khan
    The Great Khan was the supreme ruler of the Mongol Empire, holding ultimate authority over all Mongol khanates and conquests.
  • C. Sulh-i Kul
    Sulh-i Kul was a Mughal-era doctrine of universal peace and tolerance that promoted religious harmony and equal treatment of all faiths in the empire.
  • D. Dinjii Zhu’ Ginjik
    Dinjii Zhu’ Ginjik is the Gwich’in people’s own name for their Athabaskan-speaking Indigenous nation of northwestern North America.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5477bb48190a2032edc83a24720 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a63755d1f081909f214ab8d497f096 completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.