Triple
T6954096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECV-197 |
E161196
|
entity |
| Predicate | hasHolodeckLikeTechnology |
P61798
|
FINISHED |
| Object | environmental simulator |
—
|
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: environmental simulator | Statement: [ECV-197, hasHolodeckLikeTechnology, environmental simulator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHolodeckLikeTechnology Context triple: [ECV-197, hasHolodeckLikeTechnology, environmental simulator]
-
A.
hasGadget
Indicates that an entity possesses, uses, or is equipped with a particular gadget.
-
B.
featuresFictionalTechnology
chosen
Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
-
C.
C-32BHasFeature
Indicates that an entity (such as a product, system, or component) possesses or includes a specific feature identified as C-32B.
-
D.
hasNavigationTechnology
Indicates that an entity is equipped with or utilizes a system or technology for determining or guiding its position, route, or movement.
-
E.
hasCybernetic
Indicates that an entity possesses or is equipped with cybernetic enhancements, implants, or components.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.