Triple

T30864592
Position Surface form Disambiguated ID Type / Status
Subject Belfort Gap E786161 entity
Predicate nearRiver P350 FINISHED
Object Savoureuse River
The Savoureuse River is a watercourse in northeastern France that flows through the Belfort region before joining the Allan River.
 E2296212 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: Savoureuse River | Statement: [Belfort Gap, nearRiver, Savoureuse River]
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: Savoureuse River
Triple: [Belfort Gap, nearRiver, Savoureuse River]
Generated description
The Savoureuse River is a watercourse in northeastern France that flows through the Belfort region before joining the Allan River.

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_69f224b9df2c819086f55f8bcf7f382e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691ab31288190afe04c1a55477a9f completed May 3, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a824bb68654819092617da6597be4c8 completed Aug. 16, 2026, 11:45 p.m.
NEDg Description generation batch_6a824c07ba8481908afb883dba50050c completed Aug. 16, 2026, 11:47 p.m.
NED2 Entity disambiguation (via description) batch_6a824c5a03648190afd04ddc8e552119 completed Aug. 16, 2026, 11:48 p.m.
Created at: April 29, 2026, 8:47 p.m.