Triple

T7904225
Position Surface form Disambiguated ID Type / Status
Subject Garafía E183530 entity
Predicate borders P224 FINISHED
Object Puntallana E214196 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: Puntallana | Statement: [Garafía, borders, Puntallana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puntallana
Context triple: [Garafía, borders, Puntallana]
  • A. Puntallana chosen
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • B. Cañete
    Cañete is a coastal province and agricultural hub in central Peru, known for its fertile valleys, Afro-Peruvian cultural heritage, and production of crops like grapes and cotton.
  • C. Purranque
    Purranque is a small city and commune in southern Chile known for its agricultural activities and location within the Los Lagos Region.
  • D. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • E. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a4331cc8190b50301c78767a850 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bc35cec8190bda3dfe7d8d4ed18 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.