Triple

T2759950
Position Surface form Disambiguated ID Type / Status
Subject Qhapaq Ñan E61194 entity
Predicate startPoint P389 FINISHED
Object Quito region E257654 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: Quito region | Statement: [Qhapaq Ñan, startPoint, Quito region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quito region
Context triple: [Qhapaq Ñan, startPoint, Quito region]
  • A. Pichincha Province
    Pichincha Province is an Andean region in north-central Ecuador known for its capital city Quito and the active stratovolcano Pichincha.
  • B. Cotopaxi Province
    Cotopaxi Province is an inland province of central Ecuador known for encompassing the active Cotopaxi volcano and parts of the Andean highlands.
  • C. Chimborazo Province
    Chimborazo Province is an administrative region in central Ecuador known for encompassing Mount Chimborazo, the country’s highest peak and a prominent Andean landmark.
  • D. Quito basin chosen
    The Quito basin is a high-altitude inter-Andean valley in present-day Ecuador that served as the homeland and cultural center of the pre-Columbian Quitu people.
  • E. Morona-Santiago Province
    Morona-Santiago Province is a largely Amazonian region in southeastern Ecuador known for its indigenous Shuar population, vast rainforest landscapes, and rich biodiversity.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd2121548190b96f174e6f61f9b5 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbe2d9cc81909b041635ae793bc3 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:57 p.m.