Triple

T2028541
Position Surface form Disambiguated ID Type / Status
Subject South Texas E44463 entity
Predicate hasMajorCity P316 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: [South Texas, hasMajorCity, Eagle Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eagle Pass
Context triple: [South Texas, hasMajorCity, 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, 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.
  • C. 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.
  • D. Pharr, Texas
    Pharr, Texas is a rapidly growing city in the Rio Grande Valley of South Texas, known as a major commercial and transportation hub on the U.S.–Mexico border.
  • E. Nuevo Laredo
    Nuevo Laredo is a major Mexican border city in the state of Tamaulipas, located across the Rio Grande from Laredo, Texas, and serving as an important hub for international trade and transportation.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9136f888190b0fd03530e9eda1e completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ee977c08190a90355f510aa28f2 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:38 p.m.