Triple

T11697202
Position Surface form Disambiguated ID Type / Status
Subject Antonio López García E278026 entity
Predicate placeOfBirth P1 FINISHED
Object Tomelloso E799820 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: Tomelloso | Statement: [Antonio López García, placeOfBirth, Tomelloso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomelloso
Context triple: [Antonio López García, placeOfBirth, Tomelloso]
  • A. Tomelloso chosen
    Tomelloso is a town in Spain’s Castilla-La Mancha region, known for its extensive wine production and agricultural economy.
  • B. Nocciano
    Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
  • C. Mulazzo
    Mulazzo is a small historic municipality in Tuscany, central Italy, known for its medieval villages and scenic position in the Lunigiana area.
  • D. Montignoso
    Montignoso is a municipality in Tuscany, central Italy, known for its coastal location near the Ligurian Sea and its proximity to the Apuan Alps.
  • E. Tordino
    Tordino is a river in the Abruzzo region of central Italy that flows through the city of Teramo before reaching the Adriatic Sea.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.