Triple
T7225163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Hudaybiyyah |
E150360
|
entity |
| Predicate | hasIslamicDate |
P29105
|
FINISHED |
| Object | Dhu al-Qadah, 6 AH |
—
|
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: Dhu al-Qadah, 6 AH | Statement: [Treaty of Hudaybiyyah, hasIslamicDate, Dhu al-Qadah, 6 AH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslamicDate Context triple: [Treaty of Hudaybiyyah, hasIslamicDate, Dhu al-Qadah, 6 AH]
-
A.
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.
-
B.
conversionToMosqueDate
Indicates the date on which a building or site was converted into a mosque.
-
C.
monthInIslamicCalendar
chosen
Indicates that one entity is a specific month within the Islamic (Hijri) calendar system.
-
D.
usesJulianCalendar
Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
-
E.
birthYearHijri
Indicates the year of an entity’s birth expressed in the Hijri (Islamic) 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9dc835881909ea646c392a980b6 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.