Triple

T7070003
Position Surface form Disambiguated ID Type / Status
Subject Albemarle Sound E164662 entity
Predicate borderedBy P224 FINISHED
Object Tyrrell County E559105 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: Tyrrell County | Statement: [Albemarle Sound, borderedBy, Tyrrell County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrrell County
Context triple: [Albemarle Sound, borderedBy, 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. Cottle County
    Cottle County is a sparsely populated rural county in north-central Texas known for its ranching, agriculture, and small-town communities.
  • E. Coryell County
    Coryell County is a county in central Texas known for encompassing part of the Fort Cavazos (formerly Fort Hood) military installation and the city of Gatesville.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4aa82108190bacd5584c1c78999 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8a1d788190b9ad25d6e6c460f7 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:39 p.m.