Triple

T11175207
Position Surface form Disambiguated ID Type / Status
Subject Midland County E264393 entity
Predicate borderingCounty P6346 FINISHED
Object Martin County E282353 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: Martin County | Statement: [Midland County, borderingCounty, Martin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin County
Context triple: [Midland County, borderingCounty, Martin County]
  • A. Martin County
    Martin County is a coastal county on Florida’s Atlantic Treasure Coast known for its beaches, waterways, and mix of small cities and natural preserves.
  • B. Martin County chosen
    Martin County is a sparsely populated rural county in western Texas known primarily for its agriculture and oil production.
  • C. Martin County
    Martin County is a rural county in eastern North Carolina known for its agricultural economy and small-town communities.
  • D. Jackson County
    Jackson County is a largely rural county in the Florida Panhandle known for its agriculture, small towns, and historic communities such as Marianna.
  • E. Jackson County
    Jackson County is a county in northeastern Georgia, United States, known for its mix of small towns, agricultural areas, and growing suburban communities within the greater Athens and Atlanta regions.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463c4e7048190a935727344e73f89 completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.