Triple
T29529445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Sahak |
E749157
|
entity |
| Predicate | religiousTraditionFounded |
P8499
|
FINISHED |
| Object | Yarsan |
—
|
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: Yarsan | Statement: [Sultan Sahak, religiousTraditionFounded, Yarsan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTraditionFounded Context triple: [Sultan Sahak, religiousTraditionFounded, Yarsan]
-
A.
foundedReligion
chosen
Indicates that an entity established or originated a particular religion.
-
B.
religiousTraditionDetail
Indicates the specific religious tradition, denomination, or doctrinal detail associated with an entity or relationship.
-
C.
religiousTraditions
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
D.
traditionalReligionName
Indicates that an entity has a name specifically associated with a traditional or indigenous religion.
-
E.
previousReligiousTradition
Indicates that an entity had a different or prior religious affiliation or tradition before its current one.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: April 28, 2026, 4:51 p.m.