Triple
T9418756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birth of Bahá'u'lláh |
E227094
|
entity |
| Predicate | dateInBadíCalendar |
P87799
|
FINISHED |
| Object | 2nd day of the month of Muḥarram |
—
|
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: 2nd day of the month of Muḥarram | Statement: [Birth of Bahá'u'lláh, dateInBadíCalendar, 2nd day of the month of Muḥarram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateInBadíCalendar Context triple: [Birth of Bahá'u'lláh, dateInBadíCalendar, 2nd day of the month of Muḥarram]
-
A.
dayInBadíCalendar
chosen
Indicates that a given day corresponds to a specific day position within the Badí (Bahá’í) calendar system.
-
B.
monthInBadíCalendar
Indicates that one entity specifies the month designation of a date according to the Badí (Bahá’í) calendar.
-
C.
conversionToMosqueDate
Indicates the date on which a building or site was converted into a mosque.
-
D.
dateInHebrewCalendar
Indicates that a specific date is expressed according to the Hebrew (Jewish) calendar system rather than another calendar.
-
E.
positionInIslamicCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Islamic (Hijri) calendar.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.