Triple
T15539921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimrod MRA4 |
E370447
|
entity |
| Predicate | originalOrderQuantity |
P41646
|
FINISHED |
| Object | 21 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: 21 aircraft | Statement: [Nimrod MRA4, originalOrderQuantity, 21 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalOrderQuantity Context triple: [Nimrod MRA4, originalOrderQuantity, 21 aircraft]
-
A.
originalOrder
Indicates that the entities are arranged or referenced according to their initial, unaltered sequence or configuration.
-
B.
orderQuantity
chosen
Indicates the specific amount or number of items requested or scheduled in an order transaction.
-
C.
originallyOrderedBy
Indicates that one entity was the initial source or originator of an order or request for another entity.
-
D.
mainQuantity
Indicates that the associated value represents the primary or principal quantity in a given context or relationship.
-
E.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04430b5188190a555a3cd4fb0c61c |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:07 a.m.