Triple

T20798110
Position Surface form Disambiguated ID Type / Status
Subject Fountain of the Horses E511966 entity
Predicate locatedInMunicipality P40 FINISHED
Object San Ildefonso NE NERFINISHED

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 Ildefonso | Statement: [Fountain of the Horses, locatedInMunicipality, San Ildefonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ildefonso
Context triple: [Fountain of the Horses, locatedInMunicipality, San Ildefonso]
  • A. San Ildefonso
    San Ildefonso is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its farming-based economy and growing residential communities.
  • B. San Ildefonso chosen
    San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
  • C. San Rosendo
    San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
  • D. Pueblo Muñoz
    Pueblo Muñoz is a small town located within the Rosario Department in the Santa Fe Province of Argentina.
  • E. Espinosa
    Espinosa is a Spanish-origin surname common in the Hispanic world and borne by numerous notable figures in politics, arts, and sports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.