Triple
T1820062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umar ibn al-Khattab |
E40518
|
entity |
| Predicate | calendarReform |
P26069
|
FINISHED |
| Object | Adopted Hijri calendar starting from Hijra |
—
|
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: Adopted Hijri calendar starting from Hijra | Statement: [Umar ibn al-Khattab, calendarReform, Adopted Hijri calendar starting from Hijra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calendarReform Context triple: [Umar ibn al-Khattab, calendarReform, Adopted Hijri calendar starting from Hijra]
-
A.
calendarType
Indicates the type or system of calendar associated with an entity (e.g., Gregorian, lunar, fiscal).
-
B.
calendarContribution
chosen
Indicates a relationship where an entity adds to, modifies, or otherwise participates in the creation or maintenance of a calendar or scheduled events.
-
C.
calendarDependence
Indicates that one event, action, or condition is determined, constrained, or triggered by a specific date, time, or calendar schedule.
-
D.
reformDate
Indicates the date on which a reform, change, or restructuring officially took effect or was implemented.
-
E.
calendarFunction
Indicates a relationship where an entity serves as a function or operation within a calendar system, such as computing or manipulating dates, times, or calendar-related events.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.