Triple
T9554135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 74 main battle tank |
E230496
|
entity |
| Predicate | armamentOrigin |
P89764
|
FINISHED |
| Object | based on NATO-standard 105 mm gun family |
—
|
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: based on NATO-standard 105 mm gun family | Statement: [Type 74 main battle tank, armamentOrigin, based on NATO-standard 105 mm gun family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armamentOrigin Context triple: [Type 74 main battle tank, armamentOrigin, based on NATO-standard 105 mm gun family]
-
A.
militaryOrigin
Indicates that an entity originates from, was created by, or is derived from a military organization, context, or background.
-
B.
armamentCategory
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
-
C.
armamentWWII
Indicates that an entity served as a weapon, piece of equipment, or military hardware used during World War II.
-
D.
armamentWartime
Indicates a relationship where an entity serves as a weapon or military equipment used by another entity specifically in a wartime context.
-
E.
armamentStatus
Indicates the current condition or readiness level of an entity’s weapons or military equipment.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd992412148190b092bd9918764d5f |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:02 p.m.