Triple

T27538224
Position Surface form Disambiguated ID Type / Status
Subject Yara E695154 entity
Predicate locatedInBody P1714 FINISHED
Object Yara River basin
The Yara River basin is a river drainage area, likely in a tropical or subtropical region, that collects and channels the waters of the Yara River and its surrounding landscape.
 E1795048 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: Yara River basin | Statement: [Yara, locatedInBody, Yara 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: Yara River basin
Triple: [Yara, locatedInBody, Yara River basin]
Generated description
The Yara River basin is a river drainage area, likely in a tropical or subtropical region, that collects and channels the waters of the Yara River and its surrounding landscape.

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_69ef538608b081908b9f659bb09d5e0f completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62f5c34cc819099bff36545dd5965 completed May 2, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13032c81e88190a3f5d689bd1b9bff completed May 24, 2026, 1:54 p.m.
NEDg Description generation batch_6a1303a301c08190af09fa8b1ec1d47a completed May 24, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a13057f06508190bc4a4bc92cb32d7f completed May 24, 2026, 2:04 p.m.
Created at: April 27, 2026, 1:29 p.m.