Triple

T7990099
Position Surface form Disambiguated ID Type / Status
Subject Orrington Lunt E185978 entity
Predicate hasGivenName P17 FINISHED
Object Orrington E134931 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: Orrington | Statement: [Orrington Lunt, hasGivenName, Orrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orrington
Context triple: [Orrington Lunt, hasGivenName, Orrington]
  • A. Orrington, Maine chosen
    Orrington, Maine is a small town in Penobscot County known for its rural character and proximity to the Penobscot River and the city of Bangor.
  • B. Kingston, New Hampshire
    Kingston, New Hampshire is a small historic town in southeastern New Hampshire known for its colonial-era architecture and traditional New England character.
  • C. Rumney
    Rumney is a district in the eastern part of Cardiff, Wales, situated near the mouth of the Rhymney River.
  • D. Tuftonboro
    Tuftonboro is a small rural town in Carroll County, New Hampshire, known for its scenic setting along the shores of Lake Winnipesaukee.
  • E. Mapleton, Maine
    Mapleton, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc568393008190b8ff6cc17f9b5c46 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:16 p.m.