Triple
T16353271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS-90 tracked chassis |
E397109
|
entity |
| Predicate | combatWeightApprox |
P70576
|
FINISHED |
| Object | about 45 tonnes (vehicle overall) |
—
|
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: about 45 tonnes (vehicle overall) | Statement: [AS-90 tracked chassis, combatWeightApprox, about 45 tonnes (vehicle overall)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatWeightApprox Context triple: [AS-90 tracked chassis, combatWeightApprox, about 45 tonnes (vehicle overall)]
-
A.
munitionWeightCategory
Indicates the classification of a munition based on its weight range or weight-related category.
-
B.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
C.
missileWeight
Indicates the weight or mass associated with a missile in the relationship.
-
D.
وزن
chosen
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
E.
warheadMass
Indicates the mass or weight of a warhead associated with an entity or 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2faccab748190b11e0808e422f2ea |
completed | April 18, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.