Triple
T20460094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TR-85M1 Bizonul |
E501900
|
entity |
| Predicate | smokeGrenadeLaunchersCount |
P18628
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [TR-85M1 Bizonul, smokeGrenadeLaunchersCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smokeGrenadeLaunchersCount Context triple: [TR-85M1 Bizonul, smokeGrenadeLaunchersCount, 8]
-
A.
hasSmokeGrenadeLaunchers
chosen
Indicates that an entity is equipped with or possesses smoke grenade launching devices.
-
B.
grenadeLauncherCompatibility
Indicates that one entity can be equipped with, mounted to, or used in conjunction with a particular grenade launcher.
-
C.
numberOfMissilesPerLauncher
Indicates the quantity of missiles assigned to or carried by each individual launcher.
-
D.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
-
E.
ammunitionCapacity
Indicates the maximum amount of ammunition that something (typically a weapon or container) is designed to hold at one time.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a549a48190a1bcd7a6b0f71a11 |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.