Triple

T1515341
Position Surface form Disambiguated ID Type / Status
Subject Tenerife E32105 entity
Predicate hasCity P316 FINISHED
Object La Orotava E157018 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 Orotava | Statement: [Tenerife, hasCity, La Orotava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Orotava
Context triple: [Tenerife, hasCity, La Orotava]
  • A. La Orotava chosen
    La Orotava is a historic town on the island of Tenerife in Spain’s Canary Islands, known for its well-preserved traditional architecture and scenic setting on the slopes of Mount Teide.
  • B. Arroyo Naranjo
    Arroyo Naranjo is a municipality in Cuba known as one of the administrative divisions of the Havana metropolitan area.
  • C. Loíza
    Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
  • D. 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.
  • E. Puerto Río Tranquilo
    Puerto Río Tranquilo is a small village in Chilean Patagonia on the shores of General Carrera Lake, known as a gateway to the Marble Caves and nearby Andean glaciers.
  • 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_69ad23429f1c81909f435030de687675 completed March 8, 2026, 7:20 a.m.
Created at: March 4, 2026, 7:26 p.m.