Triple
T24297784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adidas OCEAUNZ |
E606011
|
entity |
| Predicate | hasGraphicsTheme |
P82972
|
FINISHED |
| Object | 2023 FIFA Women’s World Cup graphics |
—
|
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: 2023 FIFA Women’s World Cup graphics | Statement: [Adidas OCEAUNZ, hasGraphicsTheme, 2023 FIFA Women’s World Cup graphics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGraphicsTheme Context triple: [Adidas OCEAUNZ, hasGraphicsTheme, 2023 FIFA Women’s World Cup graphics]
-
A.
graphicsTheme
chosen
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
B.
supportsThemingSystem
Indicates that an entity is compatible with and can operate using a theming system for customizable appearance or style.
-
C.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
D.
hasGhostTheme
Indicates that something features or is characterized by a ghost-related or supernatural theme.
-
E.
hasMaterialTheme
Indicates that something conceptually centers on, concerns, or thematically involves a particular material or substance.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915ada688190aa9c4bdaa2f1617f |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.