Triple

T14711889
Position Surface form Disambiguated ID Type / Status
Subject Charming E345565 entity
Predicate hasFictionalHospital P46057 FINISHED
Object St. Thomas Hospital E428005 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: St. Thomas Hospital | Statement: [Charming, hasFictionalHospital, St. Thomas Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Thomas Hospital
Context triple: [Charming, hasFictionalHospital, St. Thomas Hospital]
  • A. St. Thomas Hospital chosen
    St. Thomas Hospital is a medical facility serving the community of Charming, California, providing healthcare services to local residents.
  • B. St. Mary’s Hospital Center
    St. Mary’s Hospital Center is a Montreal-based healthcare institution that serves as a major teaching hospital within the McGill University medical network.
  • C. 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.
  • D. St John’s Hospital
    St John’s Hospital is a major acute general hospital serving Livingston and the wider West Lothian area in Scotland.
  • E. St John’s Hospital
    St John’s Hospital is a healthcare facility serving the town of Howden and its surrounding area.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.