Triple

T6246836
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Polytechnical University E139739 entity
Predicate hasCityRank P69297 FINISHED
Object leading university in Xi'an 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: leading university in Xi'an | Statement: [Northwestern Polytechnical University, hasCityRank, leading university in Xi'an]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityRank
Context triple: [Northwestern Polytechnical University, hasCityRank, leading university in Xi'an]
  • A. isGlobalCityRank
    Indicates the relative position or ranking of a city within a global hierarchy of cities based on specified criteria.
  • B. areaRank
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • C. citySigned
    Indicates that a city has formally signed or endorsed an agreement, document, or commitment.
  • D. isInMetropolitanAreaRank
    Indicates that one metropolitan area holds a specific rank or position relative to others based on a defined metropolitan-area-related criterion (such as size, population, or importance).
  • E. isThirdLargestCityIn
    Indicates that a city is the third largest (typically by population or area) within a specified region or country.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631f511c81908d413320efdce42e completed March 22, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69c056037bf88190a0a3fe7429345d0b completed March 22, 2026, 8:50 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:23 p.m.