Triple
T527760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Repre |
E10958
|
entity |
| Predicate | hasFanChantForm |
P5280
|
FINISHED |
| Object | Do toho, Repre! |
—
|
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: Do toho, Repre! | Statement: [Repre, hasFanChantForm, Do toho, Repre!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanChantForm Context triple: [Repre, hasFanChantForm, Do toho, Repre!]
-
A.
fanChant
chosen
Indicates a relationship where a group of fans collectively chant or vocalize in support of, or in response to, a person, team, or performance.
-
B.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
C.
hasChoir
Indicates that an entity possesses, maintains, or is associated with a choir.
-
D.
officialFightSong
Indicates that a particular song is formally designated as the official fight song of a team, school, or organization.
-
E.
hasSpecialSong
Indicates that one entity possesses or is associated with a particular song that is unique, distinctive, or specially designated for it.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.