Triple
T16026051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oghuz Khan |
E388719
|
entity |
| Predicate | laterReligiousContext |
P9028
|
FINISHED |
| Object | Islamicized Turkic historiography |
—
|
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: Islamicized Turkic historiography | Statement: [Oghuz Khan, laterReligiousContext, Islamicized Turkic historiography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterReligiousContext Context triple: [Oghuz Khan, laterReligiousContext, Islamicized Turkic historiography]
-
A.
laterReligiousSignificance
Indicates that the subject acquires or is recognized as having religious importance or sacred status at a time subsequent to the period or context initially under consideration.
-
B.
originReligionContext
Indicates the religious background or setting from which something or someone originates or is derived.
-
C.
typicalReligionContext
Indicates the usual or most common religious setting, tradition, or affiliation associated with an entity or situation.
-
D.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
E.
religiousCulturalContext
chosen
Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.