Triple

T13040019
Position Surface form Disambiguated ID Type / Status
Subject Front Range, Colorado E327167 entity
Predicate containsCity P294 FINISHED
Object Castle Rock E77981 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: Castle Rock | Statement: [Front Range, Colorado, containsCity, Castle Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Rock
Context triple: [Front Range, Colorado, containsCity, Castle Rock]
  • A. Castle Rock chosen
    Castle Rock is a rapidly growing commuter town in central Colorado known for its distinctive castle-shaped butte and family-oriented suburban character between Denver and Colorado Springs.
  • B. Castle Rock
    Castle Rock is a psychological horror television series inspired by the interconnected universe of Stephen King’s stories, released as an original program on Hulu.
  • C. Castle Rock
    Castle Rock is the prominent volcanic crag in Edinburgh that forms the dramatic natural foundation of Edinburgh Castle.
  • D. Castle Rock
    Castle Rock is a prominent sandstone outcrop in Nottingham, England, historically significant as the elevated site on which Nottingham Castle was built.
  • E. Castle Rock, Maine
    Castle Rock, Maine is a fictional small town in Stephen King’s works, known as the setting for many of his horror and suspense stories.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.