Triple

T7108103
Position Surface form Disambiguated ID Type / Status
Subject Breña Baja E165640 entity
Predicate locatedIn P40 FINISHED
Object La Palma E34699 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: La Palma | Statement: [Breña Baja, locatedIn, La Palma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Palma
Context triple: [Breña Baja, locatedIn, La Palma]
  • A. La Palma
    La Palma is a small suburban city in northern Orange County, California, known for its residential character and high quality of life.
  • B. La Palma chosen
    La Palma is a volcanic island in the Atlantic Ocean known for its dramatic landscapes, dark-sand beaches, and status as one of Spain’s Canary Islands.
  • C. La Palma
    La Palma is a small coastal town in Panama that serves as an important regional port and gateway to communities along the Gulf of Panama and the Darién region.
  • D. Santa Cruz de La Palma
    Santa Cruz de La Palma is a historic port city in Spain’s Canary Islands known for its preserved colonial architecture, steep cobbled streets, and role as the administrative and cultural center of La Palma.
  • E. El Hierro
    El Hierro is the smallest and westernmost of Spain’s Canary Islands, known for its volcanic landscapes, marine reserves, and pioneering use of renewable energy.
  • 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5bbd4e481909e0948d01c6b15f4 completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c972177054819083dc93ad7f109b49 completed March 29, 2026, 6:40 p.m.
Created at: March 27, 2026, 2:42 p.m.