Triple
T34199504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Democratic Movement |
E877334
|
entity |
| Predicate | hasPartyColours |
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: [United Democratic Movement, hasPartyColours, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartyColours Context triple: [United Democratic Movement, hasPartyColours, 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.
hasClubColor
Indicates that a club or team is associated with a specific color or set of colors used to represent it.
-
C.
clubColoursReflected
Indicates that the club’s official colours are visibly represented or mirrored in the referenced object or context.
-
D.
hasSchoolColours
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
-
E.
hoodColor
Indicates the color attribute specifically of an entity’s hood (e.g., the hood of a garment or vehicle).
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
Created at: May 1, 2026, 1:55 a.m.