Triple
T15951917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV V150 |
E386837
|
entity |
| Predicate | pantographModification |
P121097
|
FINISHED |
| Object | aerodynamically optimized pantographs |
—
|
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: aerodynamically optimized pantographs | Statement: [TGV V150, pantographModification, aerodynamically optimized pantographs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pantographModification Context triple: [TGV V150, pantographModification, aerodynamically optimized pantographs]
-
A.
hasPantograph
Indicates that one entity is equipped with or possesses a pantograph used for drawing power or making contact with an overhead system.
-
B.
aircraftModification
Indicates a relationship where an aircraft undergoes a change, upgrade, or alteration to its structure, systems, or configuration.
-
C.
launchPadModifications
Indicates modifications or changes made to a launch pad in preparation for or support of launch operations.
-
D.
leafModification
Indicates a relationship where an entity undergoes or causes a change in the structure, form, or characteristics of a leaf.
-
E.
replacedRollingStock
Indicates that one rolling stock asset has been substituted or superseded by another in service or operational use.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:53 a.m.