Triple
T24295026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumada al-ula |
E605933
|
entity |
| Predicate | pre-IslamicFunction |
P155454
|
FINISHED |
| Object | seasonal marker |
—
|
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: seasonal marker | Statement: [Jumada al-ula, pre-IslamicFunction, seasonal marker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pre-IslamicFunction Context triple: [Jumada al-ula, pre-IslamicFunction, seasonal marker]
-
A.
preIslamicReligion
Indicates that an entity practiced, adhered to, or was associated with a religious belief system that existed before the advent or spread of Islam.
-
B.
preIslamicPresence
Indicates the existence or activity of someone or something in a place or context during the period before the advent of Islam.
-
C.
preIslamicFigure
Indicates that the subject is a notable person or character who lived or is traditionally placed in the period before the advent of Islam.
-
D.
preIslamicOccupation
Indicates the role, job, or position a person held before the advent or adoption of Islam in their context.
-
E.
preIslamicName
Indicates the name an entity had before the adoption or emergence of Islam.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:09 a.m.