Triple
T11834217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan national football team supporters |
E281472
|
entity |
| Predicate | singingStyle |
P13181
|
FINISHED |
| Object | continuous chanting |
—
|
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: continuous chanting | Statement: [Japan national football team supporters, singingStyle, continuous chanting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singingStyle Context triple: [Japan national football team supporters, singingStyle, continuous chanting]
-
A.
hasSongStyle
chosen
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
B.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
C.
songType
Indicates the specific category or genre that a given song belongs to.
-
D.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
vocalHarmonyType
Indicates the specific kind or style of vocal harmony relationship that exists between the involved vocal parts or voices.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62e7e408190998bebe346c82e89 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.