Triple
T30969134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | شبه الجزيرة العربية |
E789041
|
entity |
| Predicate | hasReligionOrigin |
P22741
|
FINISHED |
| Object | الإسلام |
—
|
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: الإسلام | Statement: [شبه الجزيرة العربية, hasReligionOrigin, الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionOrigin Context triple: [شبه الجزيرة العربية, hasReligionOrigin, الإسلام]
-
A.
hasReligiousOrigin
chosen
Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
-
B.
religionAtOrigin
Indicates that an entity had a particular religion or religious affiliation at the time or place of its origin.
-
C.
containsMajorReligionOrigin
Indicates that a location is the place where a major religion first originated or was founded.
-
D.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
E.
hasEponymReligion
Indicates that a religion is named after or derived from the name of a particular person.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00bcfed6448190b2e816bbe7c61c55 |
completed | May 10, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_6a00bc7be24c81908ba5c1957edd2c10 |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 29, 2026, 8:54 p.m.