Triple
T12936667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Bonnets Over the Border |
E309527
|
entity |
| Predicate | blueBonnetsMeaning |
P40680
|
FINISHED |
| Object | traditional Scottish headgear |
—
|
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: traditional Scottish headgear | Statement: [Blue Bonnets Over the Border, blueBonnetsMeaning, traditional Scottish headgear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blueBonnetsMeaning Context triple: [Blue Bonnets Over the Border, blueBonnetsMeaning, traditional Scottish headgear]
-
A.
redStripeMeaning
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
-
B.
badgeSymbolMeaning
Indicates that a badge’s symbol represents or conveys a particular meaning or significance.
-
C.
wreathMeaning
Indicates that one entity is a wreath that symbolizes, represents, or conveys a particular meaning, theme, or sentiment associated with another entity.
-
D.
blueStripeMeaning
chosen
Indicates that something has the meaning, symbolism, or significance associated specifically with a blue stripe.
-
E.
ribbonMeaning
Indicates that one entity symbolically represents, commemorates, or raises awareness for a cause, event, or concept through the use of a ribbon.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.