Triple
T3966634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Shuttle |
E92231
|
entity |
| Predicate | travelMode |
P1379
|
FINISHED |
| Object | train-through-tunnel |
—
|
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: train-through-tunnel | Statement: [Le Shuttle, travelMode, train-through-tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelMode Context triple: [Le Shuttle, travelMode, train-through-tunnel]
-
A.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
C.
transportModeIntegration
Indicates that different modes of transportation are coordinated or combined to enable seamless or efficient movement within a journey or transport system.
-
D.
transportation
Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
-
E.
transportModeFamily
Indicates the general category or family of transportation mode to which a specific transport mode belongs (e.g., road, rail, air, water).
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:32 p.m.