Triple

T24350508
Position Surface form Disambiguated ID Type / Status
Subject Orta San Giulio E613773 entity
Predicate locatedNear P294 FINISHED
Object Mottarone mountain
Mottarone mountain is a peak in northern Italy’s Piedmont region known for its panoramic views over Lake Orta and Lake Maggiore and for its hiking and skiing opportunities.
E1642640 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: Mottarone mountain | Statement: [Orta San Giulio, locatedNear, Mottarone mountain]
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: Mottarone mountain
Triple: [Orta San Giulio, locatedNear, Mottarone mountain]
Generated description
Mottarone mountain is a peak in northern Italy’s Piedmont region known for its panoramic views over Lake Orta and Lake Maggiore and for its hiking and skiing opportunities.

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_69e2d7ddd29481909e7f539a6072bd71 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293457120819098af138fdd01846d completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff83d2b788190a8245c509ff84cbc completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff9f4d2b881908e438b3436480274 completed May 22, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffae6e5bc81908af60c2c5d9eaa23 completed May 22, 2026, 6:42 a.m.
Created at: April 18, 2026, 1:59 a.m.