Triple
T32006791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic New Year |
E817289
|
entity |
| Predicate | precedesHoliday |
P9806
|
FINISHED |
| Object | Day of Ashura |
—
|
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: Day of Ashura | Statement: [Islamic New Year, precedesHoliday, Day of Ashura]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesHoliday Context triple: [Islamic New Year, precedesHoliday, Day of Ashura]
-
A.
predecessorHoliday
chosen
Indicates that one holiday directly precedes another in a temporal or calendrical sequence.
-
B.
occursBeforeMajorHoliday
Indicates that one event or time period happens earlier than a specified major holiday.
-
C.
hasPreFestivePeriod
Indicates that an entity is associated with or occurs during a time period leading up to a specific festival or celebration.
-
D.
successorHolidayDate
Indicates that one holiday’s date directly follows or succeeds another holiday’s date in a temporal sequence.
-
E.
primaryHoliday
Indicates that one holiday is the main or most significant holiday associated with a given entity, time, or context.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 12:15 a.m.