Triple

T2858814
Position Surface form Disambiguated ID Type / Status
Subject Chinchaysuyu E63267 entity
Predicate capital P234 FINISHED
Object Tumebamba 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: Tumebamba | Statement: [Chinchaysuyu, capital, Tumebamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumebamba
Context triple: [Chinchaysuyu, capital, Tumebamba]
  • 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. Parinacota
    Parinacota is a prominent stratovolcano in the central Andes on the Chile–Bolivia border, known for its symmetrical cone and location within the Lauca National Park region.
  • C. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Puntallana
    Puntallana is a small coastal municipality and rural village on the northeastern side of the island of La Palma in Spain’s Canary Islands.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf89d3b4819086936f26d8683a2a completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03147229c81909e2f47f1ec40633d completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:02 p.m.