Triple

T21017376
Position Surface form Disambiguated ID Type / Status
Subject Woodland Park E517714 entity
Predicate neighborhood P988 FINISHED
Object Wallingford NE NERFINISHED

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: Wallingford | Statement: [Woodland Park, neighborhood, Wallingford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallingford
Context triple: [Woodland Park, neighborhood, Wallingford]
  • A. Wallingford
    Wallingford is a historic market town on the River Thames in South Oxfordshire, England, known for its medieval castle remains and traditional town centre.
  • B. Wallingford
    Wallingford is a town in south-central Connecticut known for its historic downtown, residential neighborhoods, and mix of light industry and commerce.
  • C. Wallingford
    Wallingford is a small town in southern Vermont known for its rural New England character, historic village center, and scenic Green Mountain surroundings.
  • D. Wallingford chosen
    Wallingford is a residential neighborhood in north-central Seattle known for its historic homes, walkable streets, and proximity to Lake Union.
  • E. Abingdon
    Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5968c081909ae6407199858aba completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.