Triple
T17245802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LE-9 |
E418620
|
entity |
| Predicate | numberOfEnginesOnCoreStage |
P3542
|
FINISHED |
| Object | 2 or 3 depending on configuration |
—
|
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: 2 or 3 depending on configuration | Statement: [LE-9, numberOfEnginesOnCoreStage, 2 or 3 depending on configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEnginesOnCoreStage Context triple: [LE-9, numberOfEnginesOnCoreStage, 2 or 3 depending on configuration]
-
A.
numberOfFirstStageEngines
Indicates the quantity of engines used in the first stage of a multi-stage system or vehicle.
-
B.
enginesUpperStage
Indicates that the specified engines are part of, or belong to, the upper stage of a multi-stage launch vehicle or rocket.
-
C.
numberOfEngines
chosen
Indicates the quantity of engines associated with or used by an entity.
-
D.
numberOfCoreEngines
Indicates the quantity of primary engines associated with an entity.
-
E.
propulsionStage
Indicates a specific phase or stage within a propulsion or thrust-generating process.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e23b8948190870d0e6b4e55b4e3 |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.