Triple

T4265159
Position Surface form Disambiguated ID Type / Status
Subject Cuernavaca E96807 entity
Predicate locatedIn P40 FINISHED
Object Morelos E57709 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: Morelos | Statement: [Cuernavaca, locatedIn, Morelos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morelos
Context triple: [Cuernavaca, locatedIn, Morelos]
  • A. Morelos chosen
    Morelos is a small, landlocked state in south-central Mexico known for its warm climate, historical sites, and proximity to Mexico City.
  • B. José María Morelos y Pavón
    José María Morelos y Pavón was a Mexican Roman Catholic priest and revolutionary leader who became one of the foremost commanders and strategists of the Mexican War of Independence.
  • C. Vicente Guerrero
    Vicente Guerrero was a key Mexican revolutionary leader and later president who played a crucial role in securing Mexico’s independence from Spain.
  • D. Juarez
    Juarez is a 1939 historical drama film depicting the conflict between Mexican President Benito Juárez and Emperor Maximilian I during the French intervention in Mexico.
  • E. Emiliano Zapata
    Emiliano Zapata was a leading figure of the Mexican Revolution, renowned for championing agrarian reform and peasant rights in southern Mexico.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fcad0a881908e1cac0a6da5a321 completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b29cbe4819083788fe6e3e8ba3b completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:06 p.m.