Triple

T5906510
Position Surface form Disambiguated ID Type / Status
Subject Runway 19 E131352 entity
Predicate locatedInCounty P40 FINISHED
Object Jackson County unclear NED1 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: Jackson County | Statement: [Runway 19, locatedInCounty, Jackson County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jackson County
Context triple: [Runway 19, locatedInCounty, Jackson County]
  • A. 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.
  • B. 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.
  • C. Jackson County
    Jackson County is a northeastern Alabama county known for its mountainous terrain, Tennessee River valleys, and outdoor recreation areas such as caves and state parks.
  • D. Martin County
    Martin County is a sparsely populated rural county in western Texas known primarily for its agriculture and oil production.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0377159f88190a142cd7eed6118c1 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3912f94819086d88cf34a278d3c completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.