Triple
T13324784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freuchie |
E317410
|
entity |
| Predicate | hasTraditionalSayingAssociated |
P44442
|
FINISHED |
| Object | “Awa tae Freuchie an’ fry mince” |
—
|
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: “Awa tae Freuchie an’ fry mince” | Statement: [Freuchie, hasTraditionalSayingAssociated, “Awa tae Freuchie an’ fry mince”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalSayingAssociated Context triple: [Freuchie, hasTraditionalSayingAssociated, “Awa tae Freuchie an’ fry mince”]
-
A.
hasTraditionalAssociation
chosen
Indicates that one entity is customarily or historically linked with another according to tradition or long-established practice.
-
B.
isTraditionOf
Indicates that something is a customary practice, belief, or ritual associated with or belonging to a particular group, culture, or context.
-
C.
hasTraditionIn
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
D.
traditionAscribes
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
-
E.
includesSaying
Indicates that one entity (such as a text, speech, or communication) contains or incorporates a particular saying, phrase, or quoted expression.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.