Triple
T12094504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centaur upper stage |
E288033
|
entity |
| Predicate | typicalEngineCount |
P3542
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Centaur upper stage, typicalEngineCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEngineCount Context triple: [Centaur upper stage, typicalEngineCount, 1]
-
A.
typicalEngine
Indicates that an entity is the standard or commonly used engine for another entity (such as a vehicle, device, or system).
-
B.
numberOfEngines
chosen
Indicates the quantity of engines associated with or used by an entity.
-
C.
typicalSpindleCount
Indicates the usual or standard number of spindles associated with an entity in this relationship.
-
D.
slotCountTypical
Indicates the usual or standard number of slots associated with an entity under normal conditions.
-
E.
availableEngineDisplacement
Indicates the range or specific values of engine displacement that are offered or applicable for a given entity.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.