Triple

T2656982
Position Surface form Disambiguated ID Type / Status
Subject Universidad Autónoma de Baja California E54635 entity
Predicate hasCampusIn P4623 FINISHED
Object Tecate E14747 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: Tecate | Statement: [Universidad Autónoma de Baja California, hasCampusIn, Tecate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tecate
Context triple: [Universidad Autónoma de Baja California, hasCampusIn, Tecate]
  • A. Tecate chosen
    Tecate is a Mexican border city in the state of Baja California, known for its brewery and as a quieter alternative crossing point near Tijuana.
  • B. Vega Baja
    Vega Baja is a coastal municipality in northern Puerto Rico known for its beaches, particularly Playa Puerto Nuevo, and its mix of urban and rural communities.
  • C. Tecate, California
    Tecate, California is a small border town in eastern San Diego County known for its international crossing with Tecate, Mexico and its role as a gateway between the two countries.
  • D. San Quintín
    San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
  • E. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94ae2e881909399b3d58159aa29 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d325ec819097d7f80a28343687 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.