Triple

T32406621
Position Surface form Disambiguated ID Type / Status
Subject Punta Cermenati E828099 entity
Predicate highestPointOf P1674 FINISHED
Object Resegone massif
The Resegone massif is a distinctive saw-toothed mountain group in the Bergamo Alps of northern Italy, overlooking the city of Lecco and popular for hiking and climbing.
E1934268 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: Resegone massif | Statement: [Punta Cermenati, highestPointOf, Resegone massif]
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: Resegone massif
Triple: [Punta Cermenati, highestPointOf, Resegone massif]
Generated description
The Resegone massif is a distinctive saw-toothed mountain group in the Bergamo Alps of northern Italy, overlooking the city of Lecco and popular for hiking and climbing.

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_69f34919342c8190a4c3bf35a90d4e58 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c247928481908f5aa369adfd2906 completed May 3, 2026, 3:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34666d1a74819091cd20ede77dbeca completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a346712d6408190897672c47396895f completed June 18, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3467df74088190b9d033e1534876c6 completed June 18, 2026, 9:49 p.m.
Created at: May 1, 2026, 12:53 a.m.