Triple

T18795513
Position Surface form Disambiguated ID Type / Status
Subject Tea Valley hot springs E459623 entity
Predicate locatedIn P40 FINISHED
Object OCT East 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: OCT East | Statement: [Tea Valley hot springs, locatedIn, OCT East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCT East
Context triple: [Tea Valley hot springs, locatedIn, OCT East]
  • A. OCT East chosen
    OCT East is a large eco-themed resort and amusement complex in Shenzhen, China, featuring theme parks, hotels, golf courses, and scenic natural areas.
  • B. OCT East resort area
    OCT East resort area is a large eco-themed leisure and tourism complex in Shenzhen, China, featuring scenic attractions, theme parks, and cultural sites.
  • C. OCT East resort
    OCT East resort is a large eco-themed leisure and tourism complex in Shenzhen, China, featuring theme parks, scenic areas, and resort facilities.
  • D. OCT East tourism and leisure complex
    OCT East tourism and leisure complex is a large integrated resort and theme destination in Shenzhen, China, featuring amusement parks, natural scenic areas, hotels, and recreational facilities.
  • E. OCTAE
    OCTAE is a U.S. Department of Education office that oversees federal programs and policy for career and technical education, adult education, and related workforce development initiatives.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a01dbb308190bbbbd5a18e26451e completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.