Triple
T31815828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TAMSE |
E812129
|
entity |
| Predicate | vehicleVariant |
P172991
|
FINISHED |
| Object | TAM VCA 155 self-propelled howitzer (based on TAM chassis) |
—
|
NE NERFINISHED |
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: TAM VCA 155 self-propelled howitzer (based on TAM chassis) | Statement: [TAMSE, vehicleVariant, TAM VCA 155 self-propelled howitzer (based on TAM chassis)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleVariant Context triple: [TAMSE, vehicleVariant, TAM VCA 155 self-propelled howitzer (based on TAM chassis)]
-
A.
carTypeVariant
Indicates that one car type is a specific variant or version of another car type.
-
B.
resultedInVehicleVariant
Indicates that one event, process, or action led to the creation or emergence of a specific variant of a vehicle.
-
C.
usesVehicleVariant
Indicates that one entity performs an action or function by employing a specific variant or version of a vehicle.
-
D.
introducedOnVehicleVariant
Indicates that a feature, component, or change was first introduced or became available on a specific vehicle variant.
-
E.
featuresVehicle
Indicates that one entity includes, presents, or prominently incorporates a particular vehicle as part of its content, composition, or offering.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 30, 2026, 11:44 p.m.