Triple

T35847937
Position Surface form Disambiguated ID Type / Status
Subject Fen River (Taiyuan) E1036264 entity
Predicate historicallyVitalFor P92799 FINISHED
Object Taiyuan urban development LITERAL 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: Taiyuan urban development | Statement: [Fen River (Taiyuan), historicallyVitalFor, Taiyuan urban development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyVitalFor
Context triple: [Fen River (Taiyuan), historicallyVitalFor, Taiyuan urban development]
  • A. hasHistoricalSignificanceThrough
    Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
  • B. hasHistoricSignificanceFor chosen
    Indicates that something holds notable historical importance or relevance for a particular entity or group.
  • C. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • D. historicallyIn
    Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
  • E. hasHistoricalImplicationsFor
    Indicates that something influences, shapes, or significantly affects the course, interpretation, or understanding of history for something else.
  • F. None of above.

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_69f76e1a29e8819088280f26096aeb55 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a00c07b302081908bf9755f8fdbc36e completed May 10, 2026, 5:29 p.m.
PD Predicate disambiguation batch_6a00bfffb168819084b65804d601896d completed May 10, 2026, 5:27 p.m.
Created at: May 3, 2026, 4:06 p.m.