Triple

T11330887
Position Surface form Disambiguated ID Type / Status
Subject Colta E268339 entity
Predicate hasSettlement P1068 FINISHED
Object Santiago de Quito E8614 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: Santiago de Quito | Statement: [Colta, hasSettlement, Santiago de Quito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago de Quito
Context triple: [Colta, hasSettlement, Santiago de Quito]
  • A. Quito chosen
    Quito is the high-altitude Andean city that serves as Ecuador’s political and cultural center, renowned for its well-preserved colonial historic center and dramatic mountain setting.
  • B. Guayaquil
    Guayaquil is a major Pacific port city in southwestern Ecuador and the country’s principal commercial and industrial center.
  • C. Quito–Guayaquil
    Quito–Guayaquil is a major domestic air route in Ecuador connecting the capital city Quito with the coastal city of Guayaquil.
  • D. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • E. La Paz
    La Paz is the capital city of Baja California Sur in Mexico, known for its coastal location on the Gulf of California, marine biodiversity, and laid-back seaside atmosphere.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fd38308190a5458be1bfcc89ea completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8b19b1c8190bc9147a9fc73e35b completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:32 p.m.