Triple

T16079483
Position Surface form Disambiguated ID Type / Status
Subject Felix of Austria E390066 entity
Predicate placeOfDeath P21 FINISHED
Object San Ángel E859633 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: San Ángel | Statement: [Felix of Austria, placeOfDeath, San Ángel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ángel
Context triple: [Felix of Austria, placeOfDeath, San Ángel]
  • A. San Miguel de Allende
    San Miguel de Allende is a historic colonial city in central Mexico renowned for its well-preserved architecture, vibrant arts scene, and picturesque cobblestone streets.
  • B. San Ángel area chosen
    The San Ángel area is a historic and picturesque neighborhood in southern Mexico City known for its colonial architecture, cobblestone streets, art galleries, and vibrant weekend artisan markets.
  • C. Guadalimar
    Guadalimar is a river in southern Spain that flows through the Province of Jaén as a tributary of the Guadalquivir.
  • D. Apodaca
    Apodaca is a rapidly growing industrial city and suburb of Monterrey in the Mexican state of Nuevo León.
  • E. San Miguel el Grande
    San Miguel el Grande is a historic colonial-era town in central Mexico, now known as San Miguel de Allende, renowned for its well-preserved architecture and cultural heritage.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18448bebc8190b0e84b1da097bf8b completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.