Triple

T9660129
Position Surface form Disambiguated ID Type / Status
Subject ZSSS E233567 entity
Predicate isSecondaryAirportForCity P40597 FINISHED
Object Shanghai E5256 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: Shanghai | Statement: [ZSSS, isSecondaryAirportForCity, Shanghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanghai
Context triple: [ZSSS, isSecondaryAirportForCity, Shanghai]
  • A. Shanghai chosen
    Shanghai is a major global financial hub and China’s largest city, known for its modern skyline, historic waterfront, and role as a center of international business and trade.
  • B. Shanghai
    Shanghai is a major Ethereum network upgrade that introduced key changes such as enabling staked ETH withdrawals and improving the protocol’s efficiency and flexibility.
  • C. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • D. Tianjin
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • E. Guangzhou
    Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
  • 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: isSecondaryAirportForCity
Context triple: [ZSSS, isSecondaryAirportForCity, Shanghai]
  • A. hasSecondaryAirport chosen
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • B. otherAirportOfCity
    Indicates that the subject airport is another airport serving the same city as the object airport.
  • C. operatorSecondaryHubAirportIATA
    Indicates the IATA airport code of a secondary hub airport used by the operator.
  • D. hasSecondaryCity
    Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
  • E. isMajorRegionalAirportFor
    Indicates that an airport serves as a primary or significant air travel hub for a particular region.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c08d0d0819086426ad6891b18db completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1eab0860c819091b0169f82eac47f completed April 5, 2026, 4:53 a.m.
PD Predicate disambiguation batch_69ccd5b3239c8190b3ae3b9bd121e4bd completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:14 p.m.