Triple

T26326156
Position Surface form Disambiguated ID Type / Status
Subject Valle Gesso E662257 entity
Predicate contains P35 FINISHED
Object San Giacomo di Entracque
San Giacomo di Entracque is a small mountain village in Italy’s Piedmont region, known as a gateway to the hiking and natural attractions of the Valle Gesso in the Maritime Alps.
E1717176 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: San Giacomo di Entracque | Statement: [Valle Gesso, contains, San Giacomo di Entracque]
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: San Giacomo di Entracque
Triple: [Valle Gesso, contains, San Giacomo di Entracque]
Generated description
San Giacomo di Entracque is a small mountain village in Italy’s Piedmont region, known as a gateway to the hiking and natural attractions of the Valle Gesso in the Maritime Alps.

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_69ee812f32748190871d970c4e2a8ddf completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f2fec2c8190a0271e3256f22be6 completed May 2, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fde44088190bff148ed91d1325e completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a119071f348819093c113dab0fcea45 completed May 23, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a1190efe1a8819097407e675292a7e4 completed May 23, 2026, 11:35 a.m.
Created at: April 26, 2026, 10:31 p.m.