Triple
T20314657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICE TD |
E510346
|
entity |
| Predicate | numberOfEnginesPerTrainset |
P3542
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [ICE TD, numberOfEnginesPerTrainset, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEnginesPerTrainset Context triple: [ICE TD, numberOfEnginesPerTrainset, 4]
-
A.
numberOfTrainsetsBuilt
Indicates the total count of trainsets that have been constructed or produced.
-
B.
vehiclesPerTrain
Indicates the number of vehicles that are attached to or make up a single train.
-
C.
numberOfEngines
chosen
Indicates the quantity of engines associated with or used by an entity.
-
D.
typeOfLocomotivesProduced
Indicates the specific kinds or categories of locomotives that are manufactured or produced by an entity.
-
E.
numberOfPowerCars
Indicates the relationship specifying how many power cars (self-propelled units) are associated with or contained in a given train or rail consist.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67786f4dc8190b02a6c2a4338362d |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:19 a.m.