Triple
T6027342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suleiman ibn Qutulmish |
E134212
|
entity |
| Predicate | politicalEntityFounded |
P68840
|
FINISHED |
| Object | Turkic Muslim state in Anatolia |
—
|
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: Turkic Muslim state in Anatolia | Statement: [Suleiman ibn Qutulmish, politicalEntityFounded, Turkic Muslim state in Anatolia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalEntityFounded Context triple: [Suleiman ibn Qutulmish, politicalEntityFounded, Turkic Muslim state in Anatolia]
-
A.
organizationFounded
Indicates that an organization was established or created at a specific point in time, often by a particular founder or founding entity.
-
B.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
C.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
D.
foundedFor
Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
-
E.
foundedFrom
Indicates that an entity was established or originated starting from a particular source, place, or prior entity.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560cdc308190b25ca8ecb42c4e4f |
completed | March 22, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:07 p.m.