Triple

T24550378
Position Surface form Disambiguated ID Type / Status
Subject Ascope Province E607346 entity
Predicate hasMunicipality P847 FINISHED
Object Chocope District
Chocope District is an administrative district in northern Peru, located within Ascope Province in the La Libertad Region and known for its agricultural activity in the Chicama Valley.
E1656855 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: Chocope District | Statement: [Ascope Province, hasMunicipality, Chocope 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: Chocope District
Triple: [Ascope Province, hasMunicipality, Chocope District]
Generated description
Chocope District is an administrative district in northern Peru, located within Ascope Province in the La Libertad Region and known for its agricultural activity in the Chicama Valley.

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_69e2c4cae1b88190825e88d5ce8aa61e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8ccddec8190819e6366b3d6b6f0 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032e79ca48190931a45f6da5e7e31 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 2:27 a.m.