Triple

T15008554
Position Surface form Disambiguated ID Type / Status
Subject Leo D’Amato E377773 entity
Predicate worksIn P1527 FINISHED
Object Neptune, California E315731 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: Neptune, California | Statement: [Leo D’Amato, worksIn, Neptune, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neptune, California
Context triple: [Leo D’Amato, worksIn, Neptune, California]
  • A. Neptune, California chosen
    Neptune, California is the fictional, economically divided coastal town that serves as the primary setting of the television series "Veronica Mars."
  • B. Eureka, California
    Eureka, California is a historic coastal city in Northern California known for its Victorian architecture, working seaport, and proximity to the region’s famous redwood forests.
  • C. Ceres, California
    Ceres, California is a small agricultural city in California’s Central Valley, located just south of Modesto in Stanislaus County.
  • D. Nice, California
    Nice, California is a small lakeside community on the north shore of Clear Lake in Northern California known for its scenic views and outdoor recreation.
  • E. Newman, California
    Newman, California is a small agricultural city in Stanislaus County in California’s Central Valley.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.