Triple

T7183661
Position Surface form Disambiguated ID Type / Status
Subject Béziers E167514 entity
Predicate twinTown P1072 FINISHED
Object Chiclana de la Frontera E614046 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: Chiclana de la Frontera | Statement: [Béziers, twinTown, Chiclana de la Frontera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiclana de la Frontera
Context triple: [Béziers, twinTown, Chiclana de la Frontera]
  • A. Chiclana de la Frontera chosen
    Chiclana de la Frontera is a coastal town in Andalusia, southern Spain, known for its beaches, wine production, and tourism.
  • B. Jerez de la Frontera
    Jerez de la Frontera is a historic city in southwestern Spain renowned for its sherry wine production, flamenco heritage, and equestrian traditions.
  • C. Jerez de los Caballeros
    Jerez de los Caballeros is a historic town in the Extremadura region of southwestern Spain, known for its medieval architecture and association with several notable Spanish conquistadors.
  • D. Jerez de García Salinas
    Jerez de García Salinas is a historic colonial town and important agricultural and cultural center in the Mexican state of Zacatecas.
  • E. Salobreña
    Salobreña is a picturesque coastal town on Spain’s Costa Tropical, known for its whitewashed hillside houses and hilltop Moorish castle overlooking the Mediterranean 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84eda551081909c8489f3848846f3 completed March 28, 2026, 9:57 p.m.
Created at: March 27, 2026, 2:49 p.m.