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.