Triple
T25298491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tor-M2 |
E634281
|
entity |
| Predicate | numberOfMissilesPerVehicle |
P138785
|
FINISHED |
| Object | 16 (typical for newer variants) |
—
|
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: 16 (typical for newer variants) | Statement: [Tor-M2, numberOfMissilesPerVehicle, 16 (typical for newer variants)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMissilesPerVehicle Context triple: [Tor-M2, numberOfMissilesPerVehicle, 16 (typical for newer variants)]
-
A.
numberOfMissilesPerLauncher
chosen
Indicates the quantity of missiles assigned to or carried by each individual launcher.
-
B.
missilesPerPod
Indicates the number of missiles contained or allocated within a single missile pod.
-
C.
numberOfMissileTubes
Indicates the quantity of missile tubes that an entity possesses or is equipped with.
-
D.
numberOfMissilePods
Indicates the quantity of missile pods associated with or mounted on an entity.
-
E.
missileTypeCarried
Indicates the specific type or category of missile that is carried by a given platform, launcher, or delivery system.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 21, 2026, 1:22 p.m.