Triple

T22651568
Position Surface form Disambiguated ID Type / Status
Subject Tyrrell County E559105 entity
Predicate subdivisionName P747 FINISHED
Object Tyrrell County 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: Tyrrell County | Statement: [Tyrrell County, subdivisionName, Tyrrell County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrrell County
Context triple: [Tyrrell County, subdivisionName, Tyrrell County]
  • A. Tyrrell County chosen
    Tyrrell County is a sparsely populated rural county in eastern North Carolina known for its extensive wetlands, wildlife habitats, and location along the Albemarle Sound.
  • B. Van Zandt County
    Van Zandt County is a rural county in northeastern Texas known for its agricultural heritage and small-town communities.
  • C. Parmer County
    Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
  • D. Nicholson County
    Nicholson County is a cadastral division in New South Wales, Australia, used primarily for land title and administrative purposes.
  • E. Cottle County
    Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703c5538819089d9b5349f26ea6d completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:06 p.m.