Triple

T6718828
Position Surface form Disambiguated ID Type / Status
Subject Crown Square E153341 entity
Predicate locatedIn P40 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: [Crown Square, locatedIn, Castle Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Rock
Context triple: [Crown Square, locatedIn, Castle Rock]
  • A. Castle Rock
    Castle Rock is the prominent volcanic crag in Edinburgh that forms the dramatic natural foundation of Edinburgh Castle.
  • B. Castle Rock
    Castle Rock is a prominent sandstone outcrop in Nottingham, England, historically significant as the elevated site on which Nottingham Castle was built.
  • C. 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.
  • D. 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.
  • E. Paris Hill, Maine
    Paris Hill, Maine is a historic village known for its well-preserved 19th-century architecture and role as the original town center of Paris in Oxford County.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d135d27c819088c45839ad0e7bab completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7009b9b64819095ae1a65cd72c374 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.