Triple

T24073197
Position Surface form Disambiguated ID Type / Status
Subject Tsimané-Chimane E596290 entity
Predicate livesAlong P2409 FINISHED
Object upper Mamoré River basin
The upper Mamoré River basin is a forested lowland region of the Bolivian Amazon characterized by rich biodiversity and home to Indigenous groups such as the Tsimané-Chimane.
E1617695 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: upper Mamoré River basin | Statement: [Tsimané-Chimane, livesAlong, upper Mamoré 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: upper Mamoré River basin
Triple: [Tsimané-Chimane, livesAlong, upper Mamoré River basin]
Generated description
The upper Mamoré River basin is a forested lowland region of the Bolivian Amazon characterized by rich biodiversity and home to Indigenous groups such as the Tsimané-Chimane.

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_69e288c3999c8190809b282a04813dec completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1db1bb98081909f56cd7a06dba054 completed April 29, 2026, 10:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f966ac1a88190ba7cce819485cd09 completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0f98b7da2c8190a41721b91851924f completed May 21, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0f995b8b8c819097985d86ef1b9c1c completed May 21, 2026, 11:46 p.m.
Created at: April 17, 2026, 10:42 p.m.