Triple

T15378348
Position Surface form Disambiguated ID Type / Status
Subject Huancané Province E367730 entity
Predicate capital P234 FINISHED
Object Huancané
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
E1156357 NE FINISHED

How this triple was built (4 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: Huancané | Statement: [Huancané Province, capital, Huancané]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huancané
Context triple: [Huancané Province, capital, Huancané]
  • A. Chiquilá
    Chiquilá is a small coastal village in Quintana Roo, Mexico, best known as the main ferry departure point to the popular island destination of Isla Holbox.
  • B. Carahuino
    A Carahuino is a resident or native of Carahue, a town in southern Chile’s Araucanía Region.
  • C. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • D. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • E. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Huancané
Triple: [Huancané Province, capital, Huancané]
Generated description
Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huancané
Target entity description: Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
  • A. Chiquilá
    Chiquilá is a small coastal village in Quintana Roo, Mexico, best known as the main ferry departure point to the popular island destination of Isla Holbox.
  • B. Carahuino
    A Carahuino is a resident or native of Carahue, a town in southern Chile’s Araucanía Region.
  • C. Hualañé
    Hualañé is a rural Chilean town and commune in the Maule Region, known for its agricultural activities and location near the Mataquito River.
  • D. Chacahua
    Chacahua is a coastal community in Oaxaca, Mexico, known for its beaches, lagoons, and biodiversity within the Lagunas de Chacahua National Park.
  • E. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • F. None of above. chosen

Provenance (5 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6b67c08190b0df6b9fd65ff28b completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1b0e319881909af55b7c7360cc0e completed May 9, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bb6907c8190a3116d122303a1c6 completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:19 a.m.