Triple
T2719278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Progressives Congress |
E60042
|
entity |
| Predicate | hasPartyColor |
P7720
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [All Progressives Congress, hasPartyColor, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartyColor Context triple: [All Progressives Congress, hasPartyColor, green]
-
A.
partyColor
chosen
Indicates the political party affiliation or ideological group with which an entity is associated, typically represented by a specific color.
-
B.
coalitionColor
Indicates the color associated with a particular coalition or alliance.
-
C.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
-
D.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
E.
hasSchoolColours
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaaee104819085966bc54d5da9c0 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.