Triple

T8949809
Position Surface form Disambiguated ID Type / Status
Subject Eagle Pass, Texas E213316 entity
Predicate abbreviation P43 FINISHED
Object Eagle Pass E213316 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: Eagle Pass | Statement: [Eagle Pass, Texas, abbreviation, Eagle Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eagle Pass
Context triple: [Eagle Pass, Texas, abbreviation, Eagle Pass]
  • A. Eagle Pass, Texas chosen
    Eagle Pass, Texas is a U.S. border city on the Rio Grande known as a major crossing point and twin city to Piedras Negras, Coahuila, Mexico.
  • B. Laredo
    Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
  • C. Laredo
    Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
  • D. Laredo, Texas
    Laredo, Texas is a major city on the U.S.–Mexico border and a key international trade hub located along the Rio Grande in southern Texas.
  • E. Edinburg
    Edinburg is a small rural town in Saratoga County, New York, known for its scenic setting near the Great Sacandaga Lake and the southern Adirondacks.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.