Triple
T27604407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyssiana |
E700139
|
entity |
| Predicate | hasAugmentation |
P71472
|
FINISHED |
| Object | mechanical limbs |
—
|
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: mechanical limbs | Statement: [Nyssiana, hasAugmentation, mechanical limbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAugmentation Context triple: [Nyssiana, hasAugmentation, mechanical limbs]
-
A.
hasTypeOfAugmentation
chosen
Indicates that an entity possesses a specific kind or category of augmentation applied to it.
-
B.
canBeAugmentedWith
Indicates that one entity is capable of being enhanced, expanded, or supplemented by another entity.
-
C.
hasAuxiliaryType
Indicates that an entity is associated with a secondary or supporting type that complements its primary classification.
-
D.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
E.
hasExtendedStructure
Indicates that an entity possesses an additional or elongated structural component beyond its basic or standard form.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 2:09 p.m.