Triple

T16494291
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Hills E400642 entity
Predicate hasPart P35 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: [San Francisco Hills, hasPart, Parnassus Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parnassus Heights
Context triple: [San Francisco Hills, hasPart, 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. Glendon Hill
    Glendon Hill is a powerful Washington, D.C. lobbying firm in the TV series "House of Cards," known for employing political operative Remy Danton.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3276b88190946a669b4d893a54 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.