Triple

T8217544
Position Surface form Disambiguated ID Type / Status
Subject Cabrillo National Monument E191973 entity
Predicate locatedIn P40 FINISHED
Object Point Loma E179555 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: Point Loma | Statement: [Cabrillo National Monument, locatedIn, Point Loma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Loma
Context triple: [Cabrillo National Monument, locatedIn, Point Loma]
  • A. Point Loma peninsula
    Point Loma peninsula is a prominent coastal landform in San Diego, California, known for its historic lighthouse, scenic cliffs, and strategic military and naval installations.
  • B. Mission Bay
    Mission Bay is a major University of California, San Francisco campus and research hub in San Francisco known for its focus on biomedical sciences and biotechnology.
  • C. Mission Bay
    Mission Bay is a coastal recreational area in San Diego known for its large aquatic park, beaches, and water sports.
  • D. Point Loma, San Diego, California chosen
    Point Loma is a hilly coastal peninsula in San Diego known for its naval installations, historic lighthouse, and panoramic views of the Pacific Ocean and San Diego Bay.
  • E. Oceanside
    Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776f41108190bed1c6a8ddbea374 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67dca77c8190bdae8a88648fc534 completed April 1, 2026, 6:45 p.m.
Created at: March 30, 2026, 5:45 p.m.