Triple
T22712473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoblinda AB 41 |
E561636
|
entity |
| Predicate | frontArmorType |
P11885
|
FINISHED |
| Object | riveted steel armor |
—
|
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: riveted steel armor | Statement: [Autoblinda AB 41, frontArmorType, riveted steel armor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontArmorType Context triple: [Autoblinda AB 41, frontArmorType, riveted steel armor]
-
A.
frontArmorRange
Indicates the range or extent of protective armor coverage on the front-facing side of an entity.
-
B.
armorType
chosen
Indicates the specific category or classification of protective armor associated with an entity.
-
C.
legArmorType
Indicates the specific category or kind of protective covering worn on the legs.
-
D.
armour
Indicates that an entity provides protective covering or defense for another entity.
-
E.
frontHullArmorThickness
Indicates the thickness of the armor located on the front section of a vehicle’s hull.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790998fc8190962e21a28dd08d29 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:18 p.m.