Triple
T27574384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Around the World |
E699417
|
entity |
| Predicate | isEpicLengthTrack |
P136883
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [All Around the World, isEpicLengthTrack, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEpicLengthTrack Context triple: [All Around the World, isEpicLengthTrack, true]
-
A.
hasEpisodeLengthType
Indicates the type or category of duration associated with an episode (e.g., standard length, short, extended).
-
B.
longestTrack
Indicates that the related track is the one with the greatest duration or length among a given set of tracks.
-
C.
lapLengthOfTrack
Indicates the distance or length of a single lap around a track.
-
D.
typicalTrackLengthRange
Indicates the usual minimum and maximum lengths that a track associated with something tends to fall between.
-
E.
notableTrackLength
chosen
Indicates that there is a track whose duration is considered significant or noteworthy in the context of the subject.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f62fee64148190b84b7a1b6e9cccbe |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:01 p.m.