Triple
T15179470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian cruiser Bartolomeo Colleoni |
E362701
|
entity |
| Predicate | armorCharacteristic |
P32307
|
FINISHED |
| Object | lightly armored |
—
|
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: lightly armored | Statement: [Italian cruiser Bartolomeo Colleoni, armorCharacteristic, lightly armored]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armorCharacteristic Context triple: [Italian cruiser Bartolomeo Colleoni, armorCharacteristic, lightly armored]
-
A.
armorFeature
chosen
Indicates that one entity is a functional or descriptive feature of another entity’s armor.
-
B.
armorType
Indicates the specific category or classification of protective armor associated with an entity.
-
C.
armorName
Indicates that an entity has or is associated with a specific name identifying its armor.
-
D.
armour
Indicates that an entity provides protective covering or defense for another entity.
-
E.
armorMaterial
Indicates that one entity serves as the material or substance from which another entity’s armor is made.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.