Triple

T2105975
Position Surface form Disambiguated ID Type / Status
Subject Back to the Future Part II E37194 entity
Predicate featuresLocation P7690 FINISHED
Object Hill Valley E184372 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: Hill Valley | Statement: [Back to the Future Part II, featuresLocation, Hill Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hill Valley
Context triple: [Back to the Future Part II, featuresLocation, Hill Valley]
  • A. Hill Valley chosen
    Hill Valley is the fictional California town that serves as the primary setting across multiple time periods in the Back to the Future film trilogy.
  • B. Westwood
    Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
  • C. Westwood
    Westwood is a suburban town in Norfolk County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Kingston Canyon
    Kingston Canyon is a scenic mountain canyon in central Nevada known for its rugged terrain, outdoor recreation opportunities, and access to the surrounding Toiyabe Range wilderness.
  • E. Morgan Hill
    Morgan Hill is a suburban city in California’s Silicon Valley region, known for its affluent residential communities, wineries, and proximity to high-tech industry centers.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306bee8881908c62306fb1f6aea1 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.