Triple
T25020321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Day market |
E626552
|
entity |
| Predicate | formerNameRelatedHoliday |
P65
|
FINISHED |
| Object | Queen's Day |
—
|
NE NERFINISHED |
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: Queen's Day | Statement: [King's Day market, formerNameRelatedHoliday, Queen's Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameRelatedHoliday Context triple: [King's Day market, formerNameRelatedHoliday, Queen's Day]
-
A.
formerName
chosen
Indicates that an entity was previously known by a different name in the past.
-
B.
isCelebratedAs
Indicates that an entity is recognized, honored, or regarded in a particular role, status, or capacity.
-
C.
relatedHoliday
Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
-
D.
predecessorHoliday
Indicates that one holiday directly precedes another in a temporal or calendrical sequence.
-
E.
historicallyRecognizedAs
Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 18, 2026, 6:06 a.m.