Triple

T12048861
Position Surface form Disambiguated ID Type / Status
Subject Valley, Alabama E286858 entity
Predicate adjacentTo P224 FINISHED
Object Huguley, Alabama E299985 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: Huguley, Alabama | Statement: [Valley, Alabama, adjacentTo, Huguley, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huguley, Alabama
Context triple: [Valley, Alabama, adjacentTo, Huguley, Alabama]
  • A. Huguley, Alabama chosen
    Huguley, Alabama is a small unincorporated community located in eastern Alabama near the Georgia state line.
  • B. Haleburg, Alabama
    Haleburg, Alabama is a small rural town located in southeastern Alabama near the Georgia state line.
  • C. Townley, Alabama
    Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
  • D. Heflin, Alabama
    Heflin, Alabama is a small city in Cleburne County that serves as the county seat and lies in eastern Alabama near the Georgia state line.
  • E. Ensley, Alabama
    Ensley, Alabama is a historic industrial neighborhood in Birmingham that developed as a major steelmaking and manufacturing center in the late 19th and early 20th centuries.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904211b588190bfc7603e5b33dcb7 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684c9aa3881908f920422f4f815e1 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:47 p.m.