Triple

T14124380
Position Surface form Disambiguated ID Type / Status
Subject Lüliang E339988 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Lan County E1129440 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: Lan County | Statement: [Lüliang, hasAdministrativeDivision, Lan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lan County
Context triple: [Lüliang, hasAdministrativeDivision, Lan County]
  • A. Lin County chosen
    Lin County is a county-level administrative region under the jurisdiction of Lüliang City in Shanxi Province, northern China.
  • B. Logan County
    Logan County is a largely rural, coal-mining region in southern West Virginia known for its Appalachian landscape and history.
  • C. Logan County
    Logan County is a largely rural county in northeastern Colorado known for its agricultural economy and small communities such as its county seat, Sterling.
  • D. Logan County
    Logan County is a county in central Oklahoma known for its historic role in the Land Run of 1889 and as the location of the former territorial capital, Guthrie.
  • E. Lennox County
    Lennox County was a former county in Ontario, Canada, that later became part of the amalgamated Lennox and Addington County.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967cea3c81909d9b600501897a41 completed May 9, 2026, 2:05 a.m.
Created at: April 9, 2026, 10:22 p.m.