Triple

T6142389
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County, Alabama E136991 entity
Predicate contains P35 FINISHED
Object Waugh, Alabama E284947 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: Waugh, Alabama | Statement: [Montgomery County, Alabama, contains, Waugh, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waugh, Alabama
Context triple: [Montgomery County, Alabama, contains, Waugh, Alabama]
  • A. Waugh, Alabama chosen
    Waugh, Alabama is an unincorporated community in Montgomery County known for its rural character and location along U.S. Route 80 east of Montgomery.
  • B. Grant, Alabama
    Grant, Alabama is a small town in Marshall County known as the closest community to Cathedral Caverns State Park in the Appalachian region of northern Alabama.
  • C. Waverly, Alabama
    Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
  • D. Ragland, Alabama
    Ragland, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
  • E. Weogufka, Alabama
    Weogufka, Alabama is a small unincorporated rural community located in Coosa County in the central 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb387ac8190a60579b59a741425 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d67cac0819088802d5a21654fe8 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:16 p.m.