Triple
T224118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor’s Birthday |
E4277
|
entity |
| Predicate | predecessorHoliday |
P9806
|
FINISHED |
| Object | Tennō Tanjōbi for previous emperors |
—
|
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: Tennō Tanjōbi for previous emperors | Statement: [Emperor’s Birthday, predecessorHoliday, Tennō Tanjōbi for previous emperors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorHoliday Context triple: [Emperor’s Birthday, predecessorHoliday, Tennō Tanjōbi for previous emperors]
-
A.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
B.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
C.
nationalHoliday
Indicates that a particular day is officially recognized and observed as a national holiday by a country or nation.
-
D.
commemoratesEventBefore
Indicates that one entity performs an act of commemoration for an event that occurred prior in time to that act.
-
E.
holidaySchedule
Indicates the planned dates, times, and durations during which holidays occur or are observed.
- F. None of above. chosen
Provenance (4 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dec53ac8190912f3d79576131fa |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b5739dc8190bad8bfa330ce0499 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25dea93b48190863a3704b233aa03 |
completed | Feb. 28, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.