Triple
T38143601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreword |
E952547
|
entity |
| Predicate | isIntroductoryTrack |
P117488
|
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: [Foreword, isIntroductoryTrack, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIntroductoryTrack Context triple: [Foreword, isIntroductoryTrack, true]
-
A.
isIntroTrack
chosen
Indicates that a track serves as the introductory piece, typically opening or setting the stage for the rest of a collection (such as an album, playlist, or set).
-
B.
isTransitionalTrackOn
Indicates that a given track functions as a transitional segment connecting two other sections or states within a sequence or system.
-
C.
hasIntro
Indicates that an entity includes or is associated with an introductory section or opening part.
-
D.
hasBeginnerFriendlyTraining
Indicates that an entity provides training or instructional resources suitable for beginners or those with little prior experience.
-
E.
hasTrainingTrack
Indicates that an entity is associated with or assigned to a specific training track or program.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.