Triple
T8489478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B1 Centauro |
E200929
|
entity |
| Predicate | nightVision |
P18629
|
FINISHED |
| Object | thermal imaging sights |
—
|
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: thermal imaging sights | Statement: [B1 Centauro, nightVision, thermal imaging sights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightVision Context triple: [B1 Centauro, nightVision, thermal imaging sights]
-
A.
hasNightVision
chosen
Indicates that an entity possesses the ability to see effectively in low-light or dark conditions.
-
B.
nightService
Indicates that a service operates or is available during nighttime hours.
-
C.
nightServicePattern
Indicates that a service or operation follows a specific pattern or schedule that applies only during nighttime hours.
-
D.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
E.
visibleInLongExposureImages
Indicates that the subject can be detected or seen when images are captured using long exposure photography settings.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5581d308190b47d76dd49a36529 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.