Triple

T13783933
Position Surface form Disambiguated ID Type / Status
Subject Penobscot Valley E331204 entity
Predicate hasTown P847 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: [Penobscot Valley, hasTown, Orrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orrington
Context triple: [Penobscot Valley, hasTown, 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0247ccc881908dad7b547221f15d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07b0b2881909b316e3cc67f1ec1 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.