Triple

T23020181
Position Surface form Disambiguated ID Type / Status
Subject Commerce Municipal Airport E573140 entity
Predicate owner P347 FINISHED
Object City of Commerce NE NERFINISHED

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: City of Commerce | Statement: [Commerce Municipal Airport, owner, City of Commerce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Commerce
Context triple: [Commerce Municipal Airport, owner, City of Commerce]
  • A. The City of Commerce chosen
    The City of Commerce is an industrial and commercial suburb of Los Angeles, California, known for its manufacturing centers, warehouses, and retail outlets.
  • B. Spring City
    Spring City is the popular nickname of Kunming, the capital of Yunnan Province in China, renowned for its mild, spring-like climate year-round.
  • C. Spring City
    Spring City is a nickname for Waukesha, Wisconsin, reflecting its historic abundance of natural springs.
  • D. City of Woodward
    The City of Woodward is the principal urban center and county seat of Woodward County in northwestern Oklahoma, known historically as a regional hub for agriculture and energy.
  • E. Square City
    Square City is a walled, square-shaped fortress-like structure that serves as the main gate complex and defensive enclosure at the entrance to the Ming Xiaoling Mausoleum in Nanjing, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e8324c81908b8868d298af66e1 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.