Triple
T8055183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starship upper stage |
E187980
|
entity |
| Predicate | numberOfVacuumOptimizedEngines |
P3542
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Starship upper stage, numberOfVacuumOptimizedEngines, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVacuumOptimizedEngines Context triple: [Starship upper stage, numberOfVacuumOptimizedEngines, 3]
-
A.
numberOfCoreEngines
Indicates the quantity of primary engines associated with an entity.
-
B.
numberOfEngines
chosen
Indicates the quantity of engines associated with or used by an entity.
-
C.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
D.
vacuumVariantName
Indicates that one entity is the specific variant name or labeled version of a vacuum-related item or model associated with another entity.
-
E.
hasApproximateBrickCount
Indicates that an entity is associated with an estimated or non-exact number of bricks.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa16804819094926ff2ff053c80 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.