Triple

T11330909
Position Surface form Disambiguated ID Type / Status
Subject Colta E268339 entity
Predicate near P350 FINISHED
Object Riobamba E55989 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: Riobamba | Statement: [Colta, near, Riobamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riobamba
Context triple: [Colta, near, Riobamba]
  • A. Riobamba chosen
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • B. Tumebamba
    Tumebamba was a prominent Inca imperial city in the northern highlands, serving as a key administrative and ceremonial center in what is now southern Ecuador.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Pargua
    Pargua is a small coastal village in southern Chile that serves as a key ferry terminal and gateway to Chiloé Island across the Chacao Channel.
  • E. Urubamba
    Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
  • 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_69e5564218bc8190bbaf9aceb69fdc26 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:32 p.m.