Triple
T28187270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plain Yellow Banner |
E716212
|
entity |
| Predicate | bannerType |
P164106
|
FINISHED |
| Object | upper banner |
—
|
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: upper banner | Statement: [Plain Yellow Banner, bannerType, upper banner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannerType Context triple: [Plain Yellow Banner, bannerType, upper banner]
-
A.
bannerAffiliation
Indicates that an entity is associated with, represented by, or operating under a particular banner, label, or identifying heading.
-
B.
bannerColor
Indicates the color associated with a banner in the relationship or context described.
-
C.
presentedUnderBanner
Indicates that something is displayed or showcased beneath or associated with a specific banner or heading.
-
D.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
E.
hasSignageType
Indicates the specific category or kind of signage associated with an object, location, or entity.
- F. None of above. chosen
Provenance (4 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64287a3448190a3e3b280e02c512c |
completed | May 2, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:23 p.m.