Triple

T32076553
Position Surface form Disambiguated ID Type / Status
Subject Aude basin E819171 entity
Predicate containsRiver P165 FINISHED
Object Argent-Double River
Argent-Double River is a small river in southern France that flows through the Aude department as part of the Aude river basin.
 E2297022 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: Argent-Double River | Statement: [Aude basin, containsRiver, Argent-Double 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: Argent-Double River
Triple: [Aude basin, containsRiver, Argent-Double River]
Generated description
Argent-Double River is a small river in southern France that flows through the Aude department as part of the Aude river basin.

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_69f348ff8ef88190931c08ba530a36bc completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b52d33e08190ac04d0a50141d099 completed May 3, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82f61b94b48190a724b2742893b996 completed Aug. 17, 2026, 11:52 a.m.
NEDg Description generation batch_6a82f66cd9748190aa3d799e04264aba completed Aug. 17, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a82f6bf855c8190a5960d502d04bb54 completed Aug. 17, 2026, 11:55 a.m.
Created at: May 1, 2026, 12:23 a.m.