Triple

T15185982
Position Surface form Disambiguated ID Type / Status
Subject Linzhang County E362875 entity
Predicate subdivisionNameProvince P65453 FINISHED
Object Hebei E11863 NE FINISHED

How this triple was built (3 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: Hebei | Statement: [Linzhang County, subdivisionNameProvince, Hebei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebei
Context triple: [Linzhang County, subdivisionNameProvince, Hebei]
  • A. Hebei chosen
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • B. Liaoning
    Liaoning is a northeastern coastal province of China known for its heavy industry, port cities, and role as a gateway to the Korean Peninsula.
  • C. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • D. Shandong
    Shandong is a coastal province in eastern China that has historically been a significant political, military, and cultural center, notably during various conflicts in modern Chinese history.
  • E. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionNameProvince
Context triple: [Linzhang County, subdivisionNameProvince, Hebei]
  • A. provincialSubdivisionName
    Indicates the name assigned to a first-level administrative or provincial subdivision within a larger territorial or political entity.
  • B. subdivisionNameType
    Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
  • C. subdivisionName0 chosen
    Indicates the name assigned to the first (primary) subdivision or sub-unit associated with an entity.
  • D. subdivisionName1
    Indicates that the first named subdivision is identified by a specific name or designation within a larger geographic or organizational hierarchy.
  • E. subdivisionNameLanguage
    Indicates the language in which the name of a subdivision (such as a region, district, or administrative unit) is expressed.
  • F. None of above.

Provenance (4 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006674c088190ba635a78c30f5637 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b35c5488190a22195578c6da855 completed May 9, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69deb97bd8bc8190b2ad4888f97cf963 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:09 a.m.