Triple

T35420428
Position Surface form Disambiguated ID Type / Status
Subject Chone River basin E1023767 entity
Predicate containsFeature P182 FINISHED
Object Chone River floodplain
The Chone River floodplain is a low-lying, periodically inundated landscape along the Chone River in Ecuador, characterized by fertile alluvial soils and important agricultural and ecological functions.
E2140758 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: Chone River floodplain | Statement: [Chone River basin, containsFeature, Chone River floodplain]
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: Chone River floodplain
Triple: [Chone River basin, containsFeature, Chone River floodplain]
Generated description
The Chone River floodplain is a low-lying, periodically inundated landscape along the Chone River in Ecuador, characterized by fertile alluvial soils and important agricultural and ecological functions.

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_69f76df6704081909900c60be10d5849 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7958b1e2481909227813f382e79a0 completed May 3, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836b561b88190971539fbe2fd3f78 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a383772406c8190b731d3f3d3ab06b9 completed June 21, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_6a383820c28c8190b423a6223bb12c1f completed June 21, 2026, 7:14 p.m.
Created at: May 3, 2026, 4:03 p.m.