Triple
T1081234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Liberal Democratic Party (Japan) |
E23948
|
entity |
| Predicate | partyColorAssociated |
P7720
|
FINISHED |
| Object | LDP light blue |
—
|
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: LDP light blue | Statement: [President of the Liberal Democratic Party (Japan), partyColorAssociated, LDP light blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyColorAssociated Context triple: [President of the Liberal Democratic Party (Japan), partyColorAssociated, LDP light blue]
-
A.
partyColor
chosen
Indicates the political party affiliation or ideological group with which an entity is associated, typically represented by a specific color.
-
B.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
C.
coalitionColor
Indicates the color associated with a particular coalition or alliance.
-
D.
awayUniformColorPrimary
Indicates the primary color used for an entity’s away (non-home) uniform.
-
E.
leaderJerseyColor
Indicates the color of the jersey worn by the current leader in a competition or ranking.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b946af788190b400644a2dec68c3 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.