Triple

T13124310
Position Surface form Disambiguated ID Type / Status
Subject Wastek E311804 entity
Predicate spokenInState P44118 FINISHED
Object San Luis Potosí E34840 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: San Luis Potosí | Statement: [Wastek, spokenInState, San Luis Potosí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Luis Potosí
Context triple: [Wastek, spokenInState, San Luis Potosí]
  • A. San Luis Potosí chosen
    San Luis Potosí is a central Mexican state known for its diverse landscapes—from the arid high plateau to the lush Huasteca region—rich mining history, and colonial-era architecture.
  • B. Puebla
    Puebla is a historic and culturally rich city in central Mexico, renowned for its colonial architecture, culinary traditions like mole poblano, and its role in the Battle of Puebla commemorated on Cinco de Mayo.
  • C. Puebla
    Puebla is a metro station on Mexico City’s rapid transit system, serving passengers along Line 9 in the eastern part of the city.
  • D. Aguascalientes
    Aguascalientes is a centrally located Mexican state known for its industrial growth, colonial architecture, and the famous San Marcos Fair.
  • E. Zacatecas
    Zacatecas is a mountainous state in north-central Mexico known for its rich silver-mining history, colonial architecture, and location along the Sierra Madre Occidental.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819946808190b41335fb1054accd completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0ff20081909f277d9c8dc8b043 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:07 p.m.