Triple
T18274137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Rocket Module URM-1 |
E437689
|
entity |
| Predicate | tankArrangement |
P46737
|
FINISHED |
| Object | separate LOX and kerosene tanks |
—
|
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: separate LOX and kerosene tanks | Statement: [Universal Rocket Module URM-1, tankArrangement, separate LOX and kerosene tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tankArrangement Context triple: [Universal Rocket Module URM-1, tankArrangement, separate LOX and kerosene tanks]
-
A.
cylinderArrangement
Indicates how multiple cylinders are positioned or organized relative to one another.
-
B.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
-
C.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
D.
mainBatteryArrangement
Indicates how the primary set of main batteries or main guns are positioned, configured, or distributed relative to the platform they are mounted on.
-
E.
arrangementType
chosen
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50050d6688190b909a1c24e1dd3c9 |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.