Triple
T23820669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Burns statue |
E589227
|
entity |
| Predicate | honoreeLanguage |
P51371
|
FINISHED |
| Object | Scots and English |
—
|
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: Scots and English | Statement: [Robert Burns statue, honoreeLanguage, Scots and English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoreeLanguage Context triple: [Robert Burns statue, honoreeLanguage, Scots and English]
-
A.
languageOfHonoredFigure
chosen
Indicates the language associated with or used by the person who is being honored.
-
B.
awardNameLanguage
Indicates the language in which the name of an award is expressed.
-
C.
honoreeField
Indicates that one entity is recognized or designated as the honoree associated with another entity, such as an award, event, or dedication.
-
D.
honouredFilmLanguage
Indicates that a particular language is the one in which a film was created or presented that received an honor, award, or special recognition.
-
E.
honoreeGivenName
Indicates the given (first) name of a person who is being honored or recognized.
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ae4f8c8190a92621861cbae2f4 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:59 p.m.