Triple
T13644568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Racer |
E326068
|
entity |
| Predicate | hasTrainTheming |
P61999
|
FINISHED |
| Object | remote-control car |
—
|
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: remote-control car | Statement: [RC Racer, hasTrainTheming, remote-control car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainTheming Context triple: [RC Racer, hasTrainTheming, remote-control car]
-
A.
trainTheme
Indicates that a training process or educational activity is centered around, focused on, or organized according to a particular theme or subject.
-
B.
hasRail
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
-
C.
hasThemingDetail
chosen
Indicates that something includes or is associated with a specific thematic element, motif, or stylistic detail.
-
D.
usesRollingStockBrand
Indicates that one entity employs or operates rolling stock manufactured under a specific brand.
-
E.
transportTheme
Indicates that an agent or instrument moves or carries a theme (entity) from one place or state to another.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.