Triple

T35112018
Position Surface form Disambiguated ID Type / Status
Subject Chincheros Province E1013315 entity
Predicate administrativeCenter P1474 FINISHED
Object Chincheros District
Chincheros District is a local administrative division in Peru that serves as the capital and main urban center of Chincheros Province in the Apurímac Region.
E2136583 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: Chincheros District | Statement: [Chincheros Province, administrativeCenter, Chincheros District]
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: Chincheros District
Triple: [Chincheros Province, administrativeCenter, Chincheros District]
Generated description
Chincheros District is a local administrative division in Peru that serves as the capital and main urban center of Chincheros Province in the Apurímac Region.

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_69f76dd659d08190bcdc00d37caafb62 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78c1a18a08190aff9614a309f26c2 completed May 3, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823ae4e54819083152f8611939e80 completed June 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a38254665c88190b7dd9d0767aec8e9 completed June 21, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a38260b8ef08190b7ddb0b1bbd8c4d2 completed June 21, 2026, 5:57 p.m.
Created at: May 3, 2026, 4:01 p.m.