Triple
T21708877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fury (tank) |
E535844
|
entity |
| Predicate | propOwnerDuringFilming |
P145041
|
FINISHED |
| Object | The Tank Museum, Bovington (base vehicle) |
—
|
NE NERFINISHED |
How this triple was built (3 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: The Tank Museum, Bovington (base vehicle) | Statement: [Fury (tank), propOwnerDuringFilming, The Tank Museum, Bovington (base vehicle)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tank Museum, Bovington (base vehicle) Context triple: [Fury (tank), propOwnerDuringFilming, The Tank Museum, Bovington (base vehicle)]
-
A.
The Tank Museum, Bovington
chosen
The Tank Museum in Bovington is a renowned British military museum that houses one of the world’s most extensive and historically significant collections of tanks and armored fighting vehicles.
-
B.
Royal Tank Museum
The Royal Tank Museum is a military history museum in Jordan that showcases a large collection of tanks and armored vehicles from various eras and countries.
-
C.
National Museum of Military Vehicles
The National Museum of Military Vehicles is a museum dedicated to the collection, preservation, and exhibition of historic military vehicles and related artifacts.
-
D.
Royal Engineers Museum
The Royal Engineers Museum is a military history museum in Gillingham, Kent, dedicated to the heritage, achievements, and collections of the British Army’s Corps of Royal Engineers.
-
E.
Aldershot Military Museum
Aldershot Military Museum is a local history museum in Aldershot, England, dedicated to the town’s long-standing association with the British Army and its military heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propOwnerDuringFilming Context triple: [Fury (tank), propOwnerDuringFilming, The Tank Museum, Bovington (base vehicle)]
-
A.
filmingPeriod
Indicates the time span during which the filming of something takes place.
-
B.
ownedByInFilm
Indicates that one entity is portrayed as being owned or possessed by another entity within the context of a specific film.
-
C.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
D.
filmedFrom
Indicates that one entity serves as the physical or conceptual vantage point or recording source from which another entity (such as a scene, object, or event) is filmed.
-
E.
shotDuring
Indicates that one event or action of shooting occurred within the temporal span of another specified event or time period.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5314a288190b4b8347cca15aaa8 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:46 p.m.