Triple

T8437733
Position Surface form Disambiguated ID Type / Status
Subject Haeundae District E199270 entity
Predicate hasAttraction P105 FINISHED
Object Centum City E157613 NE 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: Centum City | Statement: [Haeundae District, hasAttraction, Centum City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centum City
Context triple: [Haeundae District, hasAttraction, Centum City]
  • A. Centum City chosen
    Centum City is a major modern business and entertainment district in Busan, South Korea, known for its high-rise complexes, shopping centers, and cultural venues.
  • B. Daye City
    Daye City is a county-level city in southeastern Hubei Province, China, known historically for its rich mineral resources and metal mining industry.
  • C. Aron City
    Aron City is the fictional, retro-styled suburban town that serves as the primary backdrop for the animated television series "Johnny Bravo."
  • D. Davidville
    Davidville was the original company founded by David Karp that created and initially operated the microblogging platform Tumblr.
  • E. South City
    South City is a colloquial name for South San Francisco, a suburban city in San Mateo County, California, known for its industrial history and proximity to San Francisco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13446788190ad52a4fd6e8b498a completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d87403c8190b979af4979e43517 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:08 p.m.