Triple
T3862056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voie Royale (Royal Route) to Mont Blanc |
E90159
|
entity |
| Predicate | approachTransport |
P37664
|
FINISHED |
| Object | mountain railway |
—
|
LITERAL 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: mountain railway | Statement: [Voie Royale (Royal Route) to Mont Blanc, approachTransport, mountain railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachTransport Context triple: [Voie Royale (Royal Route) to Mont Blanc, approachTransport, mountain railway]
-
A.
transportConnectionTo
chosen
Indicates a relationship where one entity provides or participates in a means of transportation that connects or leads to another entity.
-
B.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
C.
hasApproximateTransport
Indicates that one entity is connected to another by a transport option whose route, timing, or characteristics are similar to, but not exactly the same as, a referenced or ideal transport connection.
-
D.
approachRoute
Indicates the path or method taken by one entity as it moves toward or comes closer to another entity or target.
-
E.
approachControl
Indicates that one entity moves closer to another entity in a deliberate or controlled manner.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec22a5dc8190be8298d1ce8ca449 |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee752c8a48190a670f73ed0bf1e61 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.