Triple

T1514412
Position Surface form Disambiguated ID Type / Status
Subject West Point, Georgia E32086 entity
Predicate locatedOppositeCityAcrossRiver P382 FINISHED
Object Valley, Alabama E286858 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: Valley, Alabama | Statement: [West Point, Georgia, locatedOppositeCityAcrossRiver, Valley, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valley, Alabama
Context triple: [West Point, Georgia, locatedOppositeCityAcrossRiver, Valley, Alabama]
  • A. Valley, Alabama chosen
    Valley, Alabama is a small city in eastern Alabama near the Georgia border, historically rooted in textile manufacturing and the Chattahoochee River mill villages.
  • B. Riverside, Alabama
    Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
  • C. Westover, Alabama
    Westover, Alabama is a small town in central Alabama that forms part of the Birmingham–Hoover metropolitan area.
  • D. Vincent, Alabama
    Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
  • E. Townley, Alabama
    Townley, Alabama is a small unincorporated community located in Walker County in the north-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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61dc6ab881908b22aa7a5295bf21 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb65a9680819096e82b69b05cfa92 completed March 10, 2026, 6:12 a.m.
Created at: March 4, 2026, 7:26 p.m.