Triple

T13241962
Position Surface form Disambiguated ID Type / Status
Subject Southwest University Park E315300 entity
Predicate owner P347 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: [Southwest University Park, owner, City of El Paso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of El Paso
Context triple: [Southwest University Park, owner, 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. The Concho City
    The Concho City is a nickname for San Angelo, Texas, reflecting its historic ties to the Concho River and regional ranching and agricultural heritage.
  • E. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d59e84c8190a9e547d0fe26a5f9 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a38d09881909e8e3c32e9b1746e completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:23 p.m.