Triple

T11724503
Position Surface form Disambiguated ID Type / Status
Subject Tournon-sur-Rhône E278725 entity
Predicate twinnedWith P1072 FINISHED
Object Heredia E656510 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: Heredia | Statement: [Tournon-sur-Rhône, twinnedWith, Heredia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heredia
Context triple: [Tournon-sur-Rhône, twinnedWith, Heredia]
  • A. Heredia chosen
    Heredia is a historic city in Costa Rica known for its colonial architecture, vibrant university life, and location in the country’s Central Valley.
  • B. Bajío
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • D. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • E. Curridabat
    Curridabat is a suburban city and canton in Costa Rica known for its residential neighborhoods, commercial development, and proximity to the capital, San José.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d603cc8190b2e68d0bdd793362 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09004c5908190bd6d7a29b266318b completed April 28, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:41 p.m.