Triple
T15754914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-4K |
E381942
|
entity |
| Predicate | numberBuiltForRNZAF |
P120202
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [A-4K, numberBuiltForRNZAF, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberBuiltForRNZAF Context triple: [A-4K, numberBuiltForRNZAF, 10]
-
A.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
-
B.
RAAFQuantity
Indicates a relationship where a specific quantity or amount is associated with, measured by, or attributed to an entity or resource within the RAAF context.
-
C.
fighterNumber
Indicates the identifying number assigned to a fighter within a given context or event.
-
D.
numberOfFuselages
Indicates the quantity of fuselages associated with or contained in a given object or configuration.
-
E.
fleetNumbers
Indicates that there is an association between an entity and one or more identifying numbers assigned to it as part of a fleet.
- F. None of above. chosen
Provenance (4 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e03cc871d0819085c0fc54de7984ff |
completed | April 16, 2026, 1:35 a.m. |
Created at: April 10, 2026, 4:47 a.m.