Triple
T31507762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vickers Light Tank series |
E803861
|
entity |
| Predicate | typicalMainArmament |
P7745
|
FINISHED |
| Object |
.50 inch Vickers machine gun
The .50 inch Vickers machine gun is a British heavy machine gun developed in the early 20th century, known for its water-cooled design and use as both a vehicle and anti-aircraft weapon.
|
E1964640
|
NE FINISHED |
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: .50 inch Vickers machine gun | Statement: [Vickers Light Tank series, typicalMainArmament, .50 inch Vickers machine gun]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: .50 inch Vickers machine gun Triple: [Vickers Light Tank series, typicalMainArmament, .50 inch Vickers machine gun]
Generated description
The .50 inch Vickers machine gun is a British heavy machine gun developed in the early 20th century, known for its water-cooled design and use as both a vehicle and anti-aircraft weapon.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMainArmament Context triple: [Vickers Light Tank series, typicalMainArmament, .50 inch Vickers machine gun]
-
A.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
B.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
C.
numberOfMainBatteryGuns
Indicates the quantity of primary (main) battery guns that an entity, typically a warship or similar platform, is equipped with.
-
D.
primaryArmamentLayout
Indicates how the main weapons or primary armament of an entity are arranged or distributed relative to that entity.
-
E.
secondaryArmament
Indicates that one entity serves as a secondary or auxiliary weapon system associated with another primary platform or armament.
- F. None of above.
Provenance (6 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b1475023c81908f5e12860203a93e |
completed | June 11, 2026, 8:03 p.m. |
| NEDg | Description generation | batch_6a2b1952517481908da7d2c9149c1cf9 |
completed | June 11, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b1cfc1e9c81908602504afeab1469 |
completed | June 11, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 9:48 p.m.