Triple

T26400964
Position Surface form Disambiguated ID Type / Status
Subject Val Pellice E663695 entity
Predicate namedAfter P63 FINISHED
Object Pellice River
The Pellice River is a mountain river in the Piedmont region of northwestern Italy that flows through the Val Pellice valley before joining the Po River.
 E2286216 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: Pellice River | Statement: [Val Pellice, namedAfter, Pellice 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: Pellice River
Triple: [Val Pellice, namedAfter, Pellice River]
Generated description
The Pellice River is a mountain river in the Piedmont region of northwestern Italy that flows through the Val Pellice valley before joining the Po 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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610f493188190aea2bf6268995310 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4657384bb08190858a8ca0240d63e2 completed July 2, 2026, 12:19 p.m.
NEDg Description generation batch_6a46582a04f0819097549c340ee9669a completed July 2, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a465c7914e88190bf42bd5eb33562be completed July 2, 2026, 12:41 p.m.
Created at: April 26, 2026, 11:31 p.m.