Triple

T13721840
Position Surface form Disambiguated ID Type / Status
Subject Southern Spain E329055 entity
Predicate hasCity P316 FINISHED
Object Motril E362641 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: Motril | Statement: [Southern Spain, hasCity, Motril]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motril
Context triple: [Southern Spain, hasCity, Motril]
  • A. Motril chosen
    Motril is a coastal city in the province of Granada, Spain, known for its subtropical climate, agriculture, and port on the Mediterranean Sea.
  • B. Conil
    Conil is a small village on the island of Lanzarote in Spain’s Canary Islands, forming part of the municipality of Tías.
  • C. 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.
  • D. Teguise
    Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
  • E. Garachico
    Garachico is a historic coastal town on the northwestern shore of Tenerife in Spain’s Canary Islands, known for its volcanic landscapes, natural rock pools, and well-preserved colonial architecture.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.