Triple

T23146784
Position Surface form Disambiguated ID Type / Status
Subject Point Given E577615 entity
Predicate grandsire P979 FINISHED
Object Gulch NE NERFINISHED

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: Gulch | Statement: [Point Given, grandsire, Gulch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gulch
Context triple: [Point Given, grandsire, Gulch]
  • A. Gulch chosen
    Gulch is a character known as the offspring of the eccentric miner Mr. Prospector, often associated with frontier or mining-themed stories.
  • B. Tannery Gulch
    Tannery Gulch is a small stream or ravine located within the San Lorenzo River watershed in Santa Cruz County, California.
  • C. Polk Gulch
    Polk Gulch is a historic San Francisco neighborhood known for its vibrant nightlife and role as one of the city’s earliest LGBTQ+ communities.
  • D. Coyote Gulch
    Coyote Gulch is a scenic desert canyon in southern Utah known for its dramatic sandstone walls, natural arches, and popular backpacking routes.
  • E. Sunset Junction
    Sunset Junction is a vibrant intersection and cultural hub in Los Angeles’ Silver Lake neighborhood, known for its eclectic mix of cafes, bars, boutiques, and creative community life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecee3808190aadc65c312f79f32 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4:01 p.m.