Triple

T11400725
Position Surface form Disambiguated ID Type / Status
Subject Llívia E270100 entity
Predicate historicalRegion P915 FINISHED
Object Cerdanya E278517 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: Cerdanya | Statement: [Llívia, historicalRegion, Cerdanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerdanya
Context triple: [Llívia, historicalRegion, Cerdanya]
  • A. Cerdanya chosen
    Cerdanya is a historic region in the eastern Pyrenees, now divided between France and Spain, known for its mountainous landscapes and Catalan cultural heritage.
  • B. Gandria
    Gandria is a picturesque lakeside village in southern Switzerland known for its historic stone houses, narrow alleyways, and scenic setting on the shores of Lake Lugano.
  • C. Igualada
    Igualada is a historic town in Catalonia, Spain, known for its traditional textile and leather industries and its location near Barcelona.
  • D. Begur
    Begur is a picturesque coastal town in Catalonia, Spain, known for its medieval hilltop castle, charming old quarter, and scenic beaches along the Costa Brava.
  • E. Benicàssim
    Benicàssim is a coastal town in eastern Spain best known for its Mediterranean beaches and the annual Festival Internacional de Benicàssim (FIB) music festival.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde158a5a48190b3945945f94f97a0 completed May 8, 2026, 1:12 p.m.
Created at: April 8, 2026, 9:34 p.m.