Triple
T19520136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Armada |
E488380
|
entity |
| Predicate | hasToylineFeature |
P63394
|
FINISHED |
| Object | Mini-Con ports |
—
|
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: Mini-Con ports | Statement: [Transformers: Armada, hasToylineFeature, Mini-Con ports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasToylineFeature Context triple: [Transformers: Armada, hasToylineFeature, Mini-Con ports]
-
A.
toyLine
chosen
Indicates that one entity is part of, or associated with, a particular toy product line or series.
-
B.
hasFrontLineFeature
Indicates that an entity possesses a specific characteristic or element located on its front side or leading edge.
-
C.
hasRollingStockFeature
Indicates that a piece of rolling stock possesses a specific feature, characteristic, or equipment.
-
D.
hasAnimatedFigures
Indicates that something contains or features figures that are animated or capable of motion.
-
E.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359feb808190ba94563831adc720 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7d0da88190aabf8b5799691fb1 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.