Triple
T26752679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairy World Taxi Spin |
E674583
|
entity |
| Predicate | hasOnRideMusic |
P43970
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fairy World Taxi Spin, hasOnRideMusic, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnRideMusic Context triple: [Fairy World Taxi Spin, hasOnRideMusic, yes]
-
A.
musicUsed
Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
-
B.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
C.
hasMusical
chosen
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
D.
musicVehicle
Indicates a relationship where a vehicle is associated with or used for playing, broadcasting, or producing music.
-
E.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 3:54 a.m.