Triple

T24058708
Position Surface form Disambiguated ID Type / Status
Subject Ceneri Base Tunnel E595881 entity
Predicate locatedIn P40 FINISHED
Object Ceneri massif
The Ceneri massif is a mountainous region in the Swiss Alps that forms a key natural barrier between northern and southern Switzerland and hosts major transport infrastructure such as the Ceneri Base Tunnel.
E1654780 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: Ceneri massif | Statement: [Ceneri Base Tunnel, locatedIn, Ceneri 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: Ceneri massif
Triple: [Ceneri Base Tunnel, locatedIn, Ceneri massif]
Generated description
The Ceneri massif is a mountainous region in the Swiss Alps that forms a key natural barrier between northern and southern Switzerland and hosts major transport infrastructure such as the Ceneri Base Tunnel.

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_69e288c184b081909f1f1751fb8e299a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da52b9d48190b503fad5ff70e4c6 completed April 29, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bce2da88190bd2128c1c997d6ac completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a102a1495b881909ece4b9968710976 completed May 22, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_6a102ab86eb88190be992ea8d7008621 completed May 22, 2026, 10:06 a.m.
Created at: April 17, 2026, 10:36 p.m.