Triple

T21768250
Position Surface form Disambiguated ID Type / Status
Subject LAJ E537352 entity
Predicate cityServed P82 FINISHED
Object La Junta NE NERFINISHED

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: La Junta | Statement: [LAJ, cityServed, La Junta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Junta
Context triple: [LAJ, cityServed, La Junta]
  • A. La Junta chosen
    La Junta is a small city in southeastern Colorado known historically as a railroad and trading hub near the Arkansas River.
  • B. La Mesilla
    La Mesilla is a Guatemalan town near the Mexican border that serves as a key regional crossing point for trade and travel.
  • C. Las Mesitas
    Las Mesitas is a small unincorporated community located in Conejos County in southern Colorado, known for its rural setting in the San Luis Valley.
  • D. Terriente
    Terriente is a small rural municipality located in the Sierra de Albarracín comarca of the province of Teruel in Aragon, Spain.
  • E. El Fuerte
    El Fuerte is a historic colonial town and municipality in northern Sinaloa, Mexico, known for its Spanish-era architecture and role as a gateway to the Copper Canyon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ab57808190b9af6d8f0ead1051 completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.