Triple

T12978094
Position Surface form Disambiguated ID Type / Status
Subject Glenn County E321581 entity
Predicate hasCity P316 FINISHED
Object Willows E1012494 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: Willows | Statement: [Glenn County, hasCity, Willows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willows
Context triple: [Glenn County, hasCity, Willows]
  • A. Willows chosen
    Willows is a small city in Northern California that serves as an agricultural and administrative hub for the surrounding rural region.
  • B. The Loudwater
    The Loudwater is a river in J.R.R. Tolkien’s Middle-earth that flows through Eriador, notably passing near Rivendell and serving as a significant geographic landmark in the region.
  • C. Willowvale
    Willowvale is a South African town historically recognized as the royal and political center of the Xhosa kingdom.
  • D. Hammerwood
    Hammerwood is a small rural locality in East Sussex, England, known for its countryside setting and proximity to regional routes.
  • E. Birchmere
    Birchmere is one of the natural meres (shallow lakes) in the Ellesmere area of Shropshire, England, known for its scenic and ecological value.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f702fc8190936a7dd292a675f8 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:38 p.m.