Triple

T1777344
Position Surface form Disambiguated ID Type / Status
Subject Yichang E39209 entity
Predicate contains P35 FINISHED
Object Xiling District E238458 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: Xiling District | Statement: [Yichang, contains, Xiling District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiling District
Context triple: [Yichang, contains, Xiling District]
  • A. Xiling District chosen
    Xiling District is the central urban district and administrative, commercial, and cultural hub of Yichang in Hubei Province, China.
  • B. Xisaishan District
    Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
  • C. Wulong District
    Wulong District is a scenic mountainous district in Chongqing, China, known for its karst landscapes and UNESCO World Heritage-listed natural attractions.
  • D. Yuhua District
    Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • E. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b967f08190a73216361b9c2d83 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d7d1f6c8190a1033c784091ffb8 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:31 p.m.