Triple

T5011287
Position Surface form Disambiguated ID Type / Status
Subject Ashland, California E112625 entity
Predicate hasOfficialName P66 FINISHED
Object Ashland E112625 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: Ashland | Statement: [Ashland, California, hasOfficialName, Ashland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashland
Context triple: [Ashland, California, hasOfficialName, Ashland]
  • A. Ashland
    Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
  • B. Ashland chosen
    Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
  • C. Ashland, Ohio
    Ashland, Ohio is a small city in north-central Ohio known historically as a regional manufacturing and agricultural center and home to Ashland University.
  • D. Ashland, Kentucky
    Ashland, Kentucky is a small industrial and riverfront city in northeastern Kentucky, known as part of the Huntington–Ashland metropolitan area along the Ohio River.
  • E. Ashland, Oregon
    Ashland, Oregon is a small city in southern Oregon best known for its vibrant arts scene and the renowned Oregon Shakespeare Festival.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730d70ac8190a1818d628e95ab04 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be926e5ef481909df3a4b9d793300a completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.