Triple
T27171267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Alps transport network |
E682914
|
entity |
| Predicate | includesNotableRailLine |
P58937
|
FINISHED |
| Object | Turin–Modane railway |
—
|
NE NERFINISHED |
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: Turin–Modane railway | Statement: [Western Alps transport network, includesNotableRailLine, Turin–Modane railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNotableRailLine Context triple: [Western Alps transport network, includesNotableRailLine, Turin–Modane railway]
-
A.
hasRailRoute
chosen
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
B.
railroadLineServed
Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
-
C.
hasValleyRailLine
Indicates that a location or region is traversed or served by a railway line running through a valley.
-
D.
servesCommuterRailLine
Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
-
E.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
- F. None of above.
Provenance (3 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 27, 2026, 9:23 a.m.