Triple
T2132355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleine-Brogel Air Base |
E46568
|
entity |
| Predicate | reportedlyStores |
P35005
|
FINISHED |
| Object | U.S. B61 nuclear 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: U.S. B61 nuclear bombs | Statement: [Kleine-Brogel Air Base, reportedlyStores, U.S. B61 nuclear bombs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportedlyStores Context triple: [Kleine-Brogel Air Base, reportedlyStores, U.S. B61 nuclear bombs]
-
A.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
B.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
C.
associatedRetailer
Indicates that one entity has a business or operational connection with a particular retailer, such as partnership, distribution, or sales affiliation.
-
D.
storesConfigurationFor
Indicates that one entity holds or maintains configuration settings that are used by or apply to another entity.
-
E.
hasGiftShop
Indicates that an entity includes or provides access to a gift shop as part of its facilities or services.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7b13ac819094d43159fff984cf |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bf56e481909b0f497d238451cc |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb860a51c8190b4ae3bb1cedc0fa0 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.