Triple

T1515350
Position Surface form Disambiguated ID Type / Status
Subject Tenerife E32105 entity
Predicate hasMunicipality P847 FINISHED
Object La Laguna E32991 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 Laguna | Statement: [Tenerife, hasMunicipality, La Laguna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Laguna
Context triple: [Tenerife, hasMunicipality, La Laguna]
  • A. San Cristóbal de La Laguna chosen
    San Cristóbal de La Laguna is a historic city on the island of Tenerife in Spain, renowned for its well-preserved colonial-era urban layout that served as a model for many Latin American colonial towns.
  • B. Puerto de la Cruz
    Puerto de la Cruz is a popular coastal resort city on the north coast of Tenerife in Spain’s Canary Islands, known for its historic old town, black-sand beaches, and subtropical climate.
  • C. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • D. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • E. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907da75388190bfbdbedbd46adbdc completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad3702076881908e07d770da1a6e4d completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:26 p.m.