Triple

T11109016
Position Surface form Disambiguated ID Type / Status
Subject UCSF Medical Sciences Building E262705 entity
Predicate campus P269 FINISHED
Object Parnassus Heights E46155 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: Parnassus Heights | Statement: [UCSF Medical Sciences Building, campus, Parnassus Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parnassus Heights
Context triple: [UCSF Medical Sciences Building, campus, Parnassus Heights]
  • A. Parnassus Heights chosen
    Parnassus Heights is the main campus neighborhood of the University of California, San Francisco, known for its major medical center and health sciences research facilities.
  • B. North Hill
    North Hill is one of the prominent hills in the Malvern Hills range in England, known for its scenic views and popular walking paths.
  • C. North Hill
    North Hill is a residential neighborhood and historic district within the city of New Castle, Pennsylvania.
  • D. Parnassus valley
    Parnassus valley is a historically significant valley on Mount Parnassus in Greece, renowned in ancient mythology as a sacred place associated with the Muses and the god Apollo.
  • E. Arbor Heights
    Arbor Heights is a primarily residential neighborhood located in the southwestern part of Seattle, Washington.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6896c0819082685b5b4600d158 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.