Triple
T19578086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 9 Squadron RAF |
E489912
|
entity |
| Predicate | usedOrdnanceType |
P29553
|
FINISHED |
| Object | heavy bombs |
—
|
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: heavy bombs | Statement: [No. 9 Squadron RAF, usedOrdnanceType, heavy bombs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOrdnanceType Context triple: [No. 9 Squadron RAF, usedOrdnanceType, heavy bombs]
-
A.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
B.
typicalOrdnance
chosen
Indicates that something is a standard or commonly used type of weaponry or munitions associated with a given entity or context.
-
C.
ammunitionType
Indicates the specific kind or category of ammunition associated with or used by an entity.
-
D.
usedWarfareType
Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
-
E.
weaponTypeDelivered
Indicates that a specific type of weapon has been delivered from one entity to another.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64025d5d081909dbb0c079d366006 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.