Triple

T35509475
Position Surface form Disambiguated ID Type / Status
Subject Machigenga E1026244 entity
Predicate geographicDistribution P2178 FINISHED
Object Manu River basin
The Manu River basin is a biodiverse watershed in southeastern Peru, encompassing parts of the Amazon rainforest and serving as a homeland for Indigenous groups such as the Machigenga.
E2145558 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: Manu River basin | Statement: [Machigenga, geographicDistribution, Manu River basin]
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: Manu River basin
Triple: [Machigenga, geographicDistribution, Manu River basin]
Generated description
The Manu River basin is a biodiverse watershed in southeastern Peru, encompassing parts of the Amazon rainforest and serving as a homeland for Indigenous groups such as the Machigenga.

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_69f76dfd61208190b93ec6dc439cab41 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79771dce48190912f9966cca370fe completed May 3, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852e402148190bdb4664843e6ab27 completed June 21, 2026, 9:08 p.m.
NEDg Description generation batch_6a38545a48a881909970b888d152b021 completed June 21, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a3854ee0cc08190a542392edeedb715 completed June 21, 2026, 9:17 p.m.
Created at: May 3, 2026, 4:04 p.m.