Triple
T12901623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven of Nine |
E308623
|
entity |
| Predicate | hasCyberneticImplants |
P41225
|
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: [Seven of Nine, hasCyberneticImplants, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyberneticImplants Context triple: [Seven of Nine, hasCyberneticImplants, true]
-
A.
hasCybernetic
chosen
Indicates that an entity possesses or is equipped with cybernetic enhancements, implants, or components.
-
B.
hasExoskeleton
Indicates that an entity possesses an external supportive or protective skeletal structure covering its body.
-
C.
hasProsthesis
Indicates that an entity possesses or is equipped with an artificial substitute for a missing or impaired body part.
-
D.
featuresCyborg
Indicates that something includes or prominently presents a cyborg as part of its content or composition.
-
E.
hasGadget
Indicates that an entity possesses, uses, or is equipped with a particular gadget.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.