Triple

T1587062
Position Surface form Disambiguated ID Type / Status
Subject Nuevo León E34088 entity
Predicate hasMajorCity P316 FINISHED
Object Guadalupe E150647 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: Guadalupe | Statement: [Nuevo León, hasMajorCity, Guadalupe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guadalupe
Context triple: [Nuevo León, hasMajorCity, Guadalupe]
  • A. Guadalupe chosen
    Guadalupe is a city in the Monterrey metropolitan area of Nuevo León, Mexico, known for its urban development and major sports venues.
  • B. Guadalupe
    Guadalupe is a small coastal city in northern Santa Barbara County, California, known for its agricultural surroundings and proximity to the Guadalupe-Nipomo Dunes.
  • C. Guadalupe
    Guadalupe is a significant urban center in the Mexican state of Zacatecas, known for its proximity to the state capital and its role in the region’s economic and cultural life.
  • D. Guadalupe
    Guadalupe is the Spanish given name of Mexican-born Hollywood actress and comedian Lupe Vélez.
  • E. Culebrita
    Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090b3a20819098fdb5605ee739d7 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad469b36548190b2bdf2324fbea30f completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.