Triple

T10237038
Position Surface form Disambiguated ID Type / Status
Subject La Franja E243489 entity
Predicate associatedCity P3207 FINISHED
Object Puebla E9204 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: Puebla | Statement: [La Franja, associatedCity, Puebla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puebla
Context triple: [La Franja, associatedCity, Puebla]
  • A. Puebla chosen
    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.
  • B. 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.
  • C. San Luis Potosí
    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.
  • D. Tlaxcala
    Tlaxcala is a pre-Columbian Mesoamerican city-state and region in central Mexico known for its fierce independence from the Aztec Empire and its pivotal alliance with Spanish conquistadors.
  • E. Querétaro
    Querétaro is a central Mexican state known for its colonial-era capital city, growing industrial economy, and location at the junction of major mountain and plateau regions.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d219ab04819094a17c96bf1d65ae completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c3fa4b88190be4ce7b64335a99f completed April 9, 2026, 3:25 a.m.
Created at: April 6, 2026, 11:22 a.m.