Triple

T11008384
Position Surface form Disambiguated ID Type / Status
Subject Karluk tribes E260179 entity
Predicate hasPart P35 FINISHED
Object Chigil E660679 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: Chigil | Statement: [Karluk tribes, hasPart, Chigil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chigil
Context triple: [Karluk tribes, hasPart, Chigil]
  • A. Chigil chosen
    Chigil was a prominent Turkic tribal group that formed one of the key ruling clans of the Kara-Khanid Khanate in Central Asia.
  • B. Chorokhi
    Chorokhi is a river in the South Caucasus that flows from northeastern Turkey into southwestern Georgia before emptying into the Black Sea.
  • C. Qarchak
    Qarchak is a city in Tehran Province, Iran, known as an urban center in the southeastern part of the Tehran metropolitan area.
  • D. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978810208190b8e2966ae67b6314 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37498b9fc8190860acede4f49ea4a completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.