Triple

T11291649
Position Surface form Disambiguated ID Type / Status
Subject Ysleta–Zaragoza International Bridge E267338 entity
Predicate maintainedBy P86 FINISHED
Object City of El Paso E16599 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: City of El Paso | Statement: [Ysleta–Zaragoza International Bridge, maintainedBy, City of El Paso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of El Paso
Context triple: [Ysleta–Zaragoza International Bridge, maintainedBy, City of El Paso]
  • A. City of Laredo
    The City of Laredo is a major border municipality in southern Texas that serves as a key hub for international trade and travel between the United States and Mexico.
  • B. El Paso chosen
    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.
  • C. El Paso
    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.
  • D. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • E. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f49badc88190a3195e919900f0c3 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.