Triple

T14566067
Position Surface form Disambiguated ID Type / Status
Subject Zapatista Army of National Liberation E341787 entity
Predicate namedAfter P63 FINISHED
Object Emiliano Zapata E335056 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: Emiliano Zapata | Statement: [Zapatista Army of National Liberation, namedAfter, Emiliano Zapata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emiliano Zapata
Context triple: [Zapatista Army of National Liberation, namedAfter, Emiliano Zapata]
  • A. Emiliano Zapata chosen
    Emiliano Zapata was a leading figure of the Mexican Revolution, renowned for championing agrarian reform and peasant rights in southern Mexico.
  • B. Eufemio Zapata
    Eufemio Zapata was a Mexican revolutionary leader and the brother of Emiliano Zapata, known for his role in the Mexican Revolution.
  • C. Carlos Zapata
    Carlos Zapata is a Venezuelan-American architect known for his innovative, sculptural skyscraper designs and prominent international projects.
  • D. Morelos
    Morelos is a small, landlocked state in south-central Mexico known for its warm climate, historical sites, and proximity to Mexico City.
  • E. Morelos
    Morelos is a Mexico City Metro station that serves as an interchange point between multiple lines in the city’s rapid transit system.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b4013881908fddb8b3cf8494de completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.