Triple

T11448360
Position Surface form Disambiguated ID Type / Status
Subject Town of Rehobeth, Alabama E271323 entity
Predicate nearbyCommunity P4647 FINISHED
Object Malvern, Alabama E359497 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: Malvern, Alabama | Statement: [Town of Rehobeth, Alabama, nearbyCommunity, Malvern, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malvern, Alabama
Context triple: [Town of Rehobeth, Alabama, nearbyCommunity, Malvern, Alabama]
  • A. Malvern, Alabama chosen
    Malvern, Alabama is a small rural town located in southeastern Alabama within Geneva County.
  • B. Moulton, Alabama
    Moulton, Alabama is a small city in northern Alabama that serves as the administrative and commercial hub of Lawrence County.
  • C. Morris, Alabama
    Morris, Alabama is a small town in central Alabama that forms part of the Birmingham metropolitan area.
  • D. Shorterville, Alabama
    Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
  • E. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603f7b7c0819092de5ab040b21dc9 completed April 20, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:35 p.m.