Triple
T14999188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AF 8x-xxxx |
E374037
|
entity |
| Predicate | uniquenessScope |
P39874
|
FINISHED |
| Object | unique to each individual B-2 aircraft |
—
|
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: unique to each individual B-2 aircraft | Statement: [AF 8x-xxxx, uniquenessScope, unique to each individual B-2 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniquenessScope Context triple: [AF 8x-xxxx, uniquenessScope, unique to each individual B-2 aircraft]
-
A.
uniquenessCondition
Indicates that a specified element, value, or combination of attributes must be unique within a given set, context, or domain, with no duplicates allowed.
-
B.
typeOfUniqueness
Indicates that one entity’s uniqueness is characterized, classified, or constrained by the specific kind or mode of uniqueness associated with another entity.
-
C.
isUniqueTo
chosen
Indicates that a property, characteristic, or association belongs exclusively to a particular entity and is not shared with any other.
-
D.
hasUniqueness
Indicates that something possesses a distinctive or one-of-a-kind quality that sets it apart from others.
-
E.
reservationScope
Indicates the extent or range within which a reservation applies or is valid.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.