Triple

T8983883
Position Surface form Disambiguated ID Type / Status
Subject Lawrence County, Alabama E214605 entity
Predicate countySeat P383 FINISHED
Object Moulton, Alabama E801554 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: Moulton, Alabama | Statement: [Lawrence County, Alabama, countySeat, Moulton, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moulton, Alabama
Context triple: [Lawrence County, Alabama, countySeat, Moulton, Alabama]
  • A. Moulton, Alabama chosen
    Moulton, Alabama is a small city in northern Alabama that serves as the administrative and commercial hub of Lawrence County.
  • B. Morris, Alabama
    Morris, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • D. Malvern, Alabama
    Malvern, Alabama is a small rural town located in southeastern Alabama within Geneva County.
  • E. McCullough, Alabama
    McCullough, Alabama is a small rural unincorporated community located in Escambia County in the southern part of the state.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67eb3cfc8190900a8253cc44621c completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69d139a069f881909cc59bad0f110830 completed April 4, 2026, 4:17 p.m.
Created at: March 30, 2026, 7:03 p.m.