Triple
T13249798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential Seal of Turkey |
E315495
|
entity |
| Predicate | starCountMeaning |
P69973
|
FINISHED |
| Object | sixteen great Turkic empires |
—
|
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: sixteen great Turkic empires | Statement: [Presidential Seal of Turkey, starCountMeaning, sixteen great Turkic empires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starCountMeaning Context triple: [Presidential Seal of Turkey, starCountMeaning, sixteen great Turkic empires]
-
A.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
starMeaning
chosen
Indicates that one entity represents or conveys the symbolic or interpretive significance of a star associated with another entity.
-
C.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
D.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
E.
starsPosition
Indicates that one entity specifies the spatial location or coordinates of a star or group of stars relative to a reference frame.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:24 p.m.