Triple

T5245928
Position Surface form Disambiguated ID Type / Status
Subject Wells, Somerset E118457 entity
Predicate hasPostTown P2711 FINISHED
Object WELLS E121133 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: WELLS | Statement: [Wells, Somerset, hasPostTown, WELLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WELLS
Context triple: [Wells, Somerset, hasPostTown, WELLS]
  • A. Wells
    Wells is a common English surname borne by numerous notable individuals across literature, politics, science, and the arts.
  • B. Wells chosen
    Wells is a small city in northeastern Nevada known as a historic railroad and travel junction near the intersection of Interstate 80 and U.S. Route 93.
  • C. Washington/Wells
    Washington/Wells is an elevated Chicago 'L' station in the Loop that serves multiple CTA lines, including the Pink Line.
  • D. Valley Wells
    Valley Wells is a small locality situated within California’s Mojave Desert, known primarily as a remote desert community along major regional travel routes.
  • E. Randolph/Wells
    Randolph/Wells was a former elevated train station in Chicago’s Loop that once served the downtown rapid transit system before being replaced by Washington/Wells.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b515edc8190a9db198d4eb1c4f6 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef832ae8481908a90faf66c1db631 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.