Triple

T12142407
Position Surface form Disambiguated ID Type / Status
Subject Syosset, New York E289218 entity
Predicate hasHospital P105 FINISHED
Object Syosset Hospital E645080 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: Syosset Hospital | Statement: [Syosset, New York, hasHospital, Syosset Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syosset Hospital
Context triple: [Syosset, New York, hasHospital, Syosset Hospital]
  • A. Syosset Hospital chosen
    Syosset Hospital is a community medical center located in Syosset, New York, providing a range of inpatient and outpatient healthcare services to the surrounding area.
  • B. Kunde Hospital
    Kunde Hospital is a small, high-altitude medical facility in the Khumbu region of Nepal that provides essential healthcare services to local Sherpa communities and trekkers near Mount Everest.
  • C. Tonna Hospital
    Tonna Hospital is a healthcare facility serving the community of Tonna in Wales.
  • D. Tata Main Hospital
    Tata Main Hospital is a major multi-specialty healthcare institution in Jamshedpur, serving the medical needs of the city’s industrial workforce and surrounding communities.
  • E. Tisch Hospital
    Tisch Hospital is a major acute-care teaching hospital in Manhattan that serves as a primary clinical center for NYU Langone Health and NYU Grossman School of Medicine.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69501348190a9ac090c7db37c20 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.