Triple

T36871979
Position Surface form Disambiguated ID Type / Status
Subject Truyère valley E911246 entity
Predicate partOf P40 FINISHED
Object Lot River watershed
The Lot River watershed is the drainage basin in southern France that collects the waters of the Lot River and its tributaries, shaping a network of valleys and landscapes before joining the Garonne.
 E2204512 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: Lot River watershed | Statement: [Truyère valley, partOf, Lot River watershed]
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: Lot River watershed
Triple: [Truyère valley, partOf, Lot River watershed]
Generated description
The Lot River watershed is the drainage basin in southern France that collects the waters of the Lot River and its tributaries, shaping a network of valleys and landscapes before joining the Garonne.

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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cff3d97c819087f221ac6e98f35b completed May 3, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e161c05ac819081146729541cf460 completed June 26, 2026, 6:03 a.m.
NEDg Description generation batch_6a3e179c64f08190989ed1a64896b734 completed June 26, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a3e1db9016c81908793c055864dc5dd completed June 26, 2026, 6:35 a.m.
Created at: May 3, 2026, 4:13 p.m.