Triple

T7173725
Position Surface form Disambiguated ID Type / Status
Subject Breña Alta E167264 entity
Predicate sharesBorderWith P224 FINISHED
Object El Paso E217742 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: El Paso | Statement: [Breña Alta, sharesBorderWith, El Paso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Paso
Context triple: [Breña Alta, sharesBorderWith, El Paso]
  • A. El Paso
    El Paso is a large border city in far western Texas known for its strong cultural ties with Mexico and its role as a major economic and transportation hub in the region.
  • B. El Paso chosen
    El Paso is a municipality on the Spanish island of La Palma in the Canary Islands, known for its volcanic landscapes and proximity to the Cumbre Vieja ridge.
  • C. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • D. Nogales
    Nogales is a Chilean municipality located in the Province of Quillota in the Valparaíso Region.
  • E. Nogales
    Nogales is a municipality and town in the state of Veracruz, Mexico, known for its mountainous terrain and role as part of the Orizaba metropolitan area.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88c5b708190ab81622ea82c2d23 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e510cb488190abde1c66e2fa4db4 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:48 p.m.