Triple

T14328041
Position Surface form Disambiguated ID Type / Status
Subject Forest Hall E355262 entity
Predicate locatedNear P294 FINISHED
Object Longbenton E625992 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: Longbenton | Statement: [Forest Hall, locatedNear, Longbenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longbenton
Context triple: [Forest Hall, locatedNear, Longbenton]
  • A. Longbenton chosen
    Longbenton is a suburban area in Tyne and Wear, England, situated near Newcastle upon Tyne and known largely as a residential community.
  • B. Binghamville
    Binghamville is a small community or locality within the town of Fairfield in northern Vermont, United States.
  • C. Paynesville
    Paynesville is a major city in Liberia, located near the capital Monrovia and known for its role as a key urban and sporting center in the country.
  • D. Benton
    Benton is a surname most notably associated with American painter and muralist Thomas Hart Benton, a leading figure of the Regionalist art movement.
  • E. Benton
    Benton is a small town located in Yates County in the Finger Lakes region of New York State.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1c3e70819084b6728ac5c18561 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3d20688190973e37ca38b4afe0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:13 a.m.