Triple
T37442803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCSS |
E930464
|
entity |
| Predicate | stageCountOnVehicle |
P188657
|
FINISHED |
| Object | second stage |
—
|
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: second stage | Statement: [DCSS, stageCountOnVehicle, second stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageCountOnVehicle Context triple: [DCSS, stageCountOnVehicle, second stage]
-
A.
numberOfVehicles
Indicates the total count of vehicles associated with a given entity or context.
-
B.
hasAxleCount
Indicates the number of axles that an object (typically a vehicle or rolling stock) possesses.
-
C.
numberOfPassengerCars
Indicates the total count of passenger cars associated with or contained in a given entity or context.
-
D.
quantityPerCar
Indicates the amount or number of a specified item associated with each individual car.
-
E.
numberOfCarsPerSet
Indicates the quantity of cars that are included within a single set.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.