Triple

T35230958
Position Surface form Disambiguated ID Type / Status
Subject 小清河 E1017231 entity
Predicate 是否跨省 P182636 FINISHED
Object 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: 否 | Statement: [小清河, 是否跨省, 否]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 是否跨省
Context triple: [小清河, 是否跨省, 否]
  • A. otherProvinceInChina
    Indicates that two provinces are distinct from each other while both being located within China.
  • B. isRemoteFromMainland
    Indicates that a location is geographically separated and distant from the primary mainland area of a region or country.
  • C. isOneOfChinaFourMunicipalities
    Indicates that the subject is one of the four directly administered municipalities of China (Beijing, Shanghai, Tianjin, or Chongqing).
  • D. extendsIntoProvince
    Indicates that something physically or spatially continues from one area into the territory of a specified province.
  • E. crossBorderAgglomerationWith
    Indicates a relationship where economic or spatial clustering of activities spans or connects across a national or regional border between the linked entities.
  • F. None of above. chosen

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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7904a770481908ef3f788e51e8dba completed May 3, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
PDg Predicate description generation batch_69f78f629d508190b755848162c4e101 completed May 3, 2026, 6:09 p.m.
Created at: May 3, 2026, 4:02 p.m.