Triple
T27269136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Jumah |
E687997
|
entity |
| Predicate | religionInEarlyIslamicPeriod |
P97117
|
FINISHED |
| Object | Islam |
—
|
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: Islam | Statement: [Banu Jumah, religionInEarlyIslamicPeriod, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionInEarlyIslamicPeriod Context triple: [Banu Jumah, religionInEarlyIslamicPeriod, Islam]
-
A.
religionEarlyIslamic
chosen
Indicates that the entity is associated with or practices an early form of Islam, typically from the formative period of the Islamic faith.
-
B.
religionInEarlyPeriod
Indicates that an entity had a particular religious affiliation or practice during its early or initial historical period.
-
C.
politicalStatusEarlyIslamic
Indicates the political role, position, or status an entity held during the early Islamic period.
-
D.
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.
-
E.
religionInClassicalPeriod
Indicates that an entity’s religion or religious affiliation during the classical historical period is being specified.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.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: April 27, 2026, 10:58 a.m.