Triple
T7692589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wexford Carol |
E174284
|
entity |
| Predicate | textOpeningLine |
P829
|
FINISHED |
| Object | Good people all, this Christmas time |
—
|
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: Good people all, this Christmas time | Statement: [The Wexford Carol, textOpeningLine, Good people all, this Christmas time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textOpeningLine Context triple: [The Wexford Carol, textOpeningLine, Good people all, this Christmas time]
-
A.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
textOpeningTranslation
Indicates that a text serves as a translation of the opening section of another text.
-
C.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
-
D.
originalLineOpened
Indicates that a transportation or service line began its initial operation or was first opened for use.
-
E.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.