Triple

T6888265
Position Surface form Disambiguated ID Type / Status
Subject Dongying E158976 entity
Predicate hasCounty P285 FINISHED
Object Lijin County E448656 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: Lijin County | Statement: [Dongying, hasCounty, Lijin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lijin County
Context triple: [Dongying, hasCounty, Lijin County]
  • A. Lijin County chosen
    Lijin County is an administrative county in northeastern Shandong Province, China, situated on the Shandong Peninsula and governed by the prefecture-level city of Dongying.
  • B. Linzhang County
    Linzhang County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • C. Linquan County
    Linquan County is an administrative county in western Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • D. Yingshang County
    Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • E. Yangxin County
    Yangxin County is an administrative county under the jurisdiction of Huangshi City in southeastern Hubei Province, China, known for its rural landscapes and growing industrial development.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9101e30819084695ba0003a255c completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbb542f08190bfea892ea90390b3 completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:23 p.m.