Triple
T15951935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV V150 |
E386837
|
entity |
| Predicate | publicityRole |
P13067
|
FINISHED |
| Object | showcase French high-speed rail technology |
—
|
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: showcase French high-speed rail technology | Statement: [TGV V150, publicityRole, showcase French high-speed rail technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicityRole Context triple: [TGV V150, publicityRole, showcase French high-speed rail technology]
-
A.
representedRole
Indicates that one entity serves as a stand-in, proxy, or representative performing a role on behalf of another entity.
-
B.
promotionalRole
chosen
Indicates that an entity serves in a capacity focused on promoting, advertising, or publicizing another entity, product, or activity.
-
C.
audienceRole
Indicates the role or function an entity has as part of an audience in relation to another entity or event.
-
D.
entertainmentRole
Indicates that an entity holds a specific function or position within an entertainment context (such as a role in a performance, production, or media work).
-
E.
hasWidelyRecognizedPublicRole
Indicates that an entity holds a public position or function that is broadly known and acknowledged by the general public.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.