Triple

T663396
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Reservoir E12805 entity
Predicate hasViewOf P854 FINISHED
Object Hollywood Hills E27109 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: Hollywood Hills | Statement: [Hollywood Reservoir, hasViewOf, Hollywood Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood Hills
Context triple: [Hollywood Reservoir, hasViewOf, Hollywood Hills]
  • A. Hollywood Hills chosen
    Hollywood Hills is a wealthy, hillside residential neighborhood in Los Angeles known for its panoramic city views and iconic association with the entertainment industry.
  • B. Pacific Palisades
    Pacific Palisades is an affluent coastal neighborhood on Los Angeles’ Westside known for its ocean views, canyon landscapes, and small-town feel.
  • C. West Hollywood
    West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
  • D. Century City
    Century City is a prominent commercial and entertainment district on Los Angeles’s Westside known for its high-rise offices, studios, and shopping centers.
  • E. East Hollywood
    East Hollywood is a diverse, densely populated neighborhood in central Los Angeles known for its mix of residential areas, ethnic enclaves, and proximity to major Hollywood landmarks.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd1f0ec819087003d30bbab2fa6 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce4b94d08190b7747b0b6d61e3e1 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:36 p.m.