Triple
T17885510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket |
E447188
|
entity |
| Predicate | canCreateForceFields |
P62674
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rocket, canCreateForceFields, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canCreateForceFields Context triple: [Rocket, canCreateForceFields, true]
-
A.
involvesForceBond
Indicates a relationship in which two or more entities are connected through a special Force-based bond that links their sensations, emotions, or abilities.
-
B.
canMake
Indicates that one entity has the ability or capacity to create, produce, or assemble another entity.
-
C.
forceComponentCreated
chosen
Indicates that a force-related component has been instantiated or newly created within a system or context.
-
D.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
-
E.
supportedCreationOf
Indicates that one entity actively aided, endorsed, or facilitated the bringing into existence or establishment of another 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c123748819091bf46178105079b |
completed | April 19, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.