Triple
T9476589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ay yıldız |
E228530
|
entity |
| Predicate | shapeOfStar |
P1464
|
FINISHED |
| Object | regular five-pointed star |
—
|
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: regular five-pointed star | Statement: [Ay yıldız, shapeOfStar, regular five-pointed star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeOfStar Context triple: [Ay yıldız, shapeOfStar, regular five-pointed star]
-
A.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
C.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
D.
starType
Indicates the classification relationship specifying what type or category of star an astronomical object is.
-
E.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd80127744819082176b2d4417216e |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:54 p.m.