Triple

T8243530
Position Surface form Disambiguated ID Type / Status
Subject The Body E192792 entity
Predicate hasFictionalLocation P21117 FINISHED
Object Castle Rock, Maine E733944 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, Maine | Statement: [The Body, hasFictionalLocation, Castle Rock, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Rock, Maine
Context triple: [The Body, hasFictionalLocation, Castle Rock, Maine]
  • A. Castle Rock, Maine chosen
    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.
  • B. Old Town, Maine
    Old Town, Maine is a small city in Penobscot County known for its historic paper and wood-products industries and its location along the Penobscot River.
  • C. Rockwood, Maine
    Rockwood, Maine is a small unincorporated community and popular outdoor recreation gateway on the western shore of Moosehead Lake in north-central Maine.
  • D. Castle Hill, Maine
    Castle Hill, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
  • E. Crystal, Maine
    Crystal, Maine is a small rural town located in northern Aroostook County known for its forested landscape and quiet, remote character.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb786f65708190a92ec282b280c813 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d7ff2a88190964a272647245bdc completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:47 p.m.