Triple

T3628070
Position Surface form Disambiguated ID Type / Status
Subject McLennan County E76887 entity
Predicate bordersOn P224 FINISHED
Object Limestone County E178140 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: Limestone County | Statement: [McLennan County, bordersOn, Limestone County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limestone County
Context triple: [McLennan County, bordersOn, Limestone County]
  • A. Limestone County chosen
    Limestone County is a county in northern Alabama known for its mix of agricultural communities, growing suburban areas, and proximity to the Huntsville metropolitan region.
  • B. Lamar County
    Lamar County is a rural county in western Alabama known for its small communities and agricultural landscape.
  • C. Lamar County
    Lamar County is a county in the state of Georgia, United States, known for its seat in the city of Barnesville and its location in the central part of the state.
  • D. Waller County
    Waller County is a county in southeastern Texas that forms part of the greater Houston metropolitan region.
  • E. Ringgold County
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2ddccc881909ae13dca3dd8a11d completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d035d97081908688d63527fd0f66 completed March 14, 2026, 9:16 p.m.
Created at: March 8, 2026, 3:23 p.m.