Triple
T32212206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Shuttle electrical power system |
E822837
|
entity |
| Predicate | numberOfFuelCells |
P203477
|
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: [Space Shuttle electrical power system, numberOfFuelCells, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFuelCells Context triple: [Space Shuttle electrical power system, numberOfFuelCells, 3]
-
A.
numberOfGasCells
Indicates the quantity of distinct gas cells associated with or contained within a given entity or system.
-
B.
numberOfFuelAssemblies
Indicates the total count of fuel assemblies associated with or contained in a given system, component, or facility.
-
C.
usedFuelCells
Indicates that an entity employed fuel cells as an energy source or power component in its operation or design.
-
D.
fuelCellType
Indicates the specific kind or category of fuel cell associated with or used by an entity.
-
E.
numberOfFuelChannelsApproximate
Indicates an approximate count of the fuel channels associated with an entity.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
| PDg | Predicate description generation | batch_6a018c6aaca081908c63d8d624fe9ec4 |
completed | May 11, 2026, 7:59 a.m. |
Created at: May 1, 2026, 12:37 a.m.