Triple
T1676140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the White Eagle (Poland) |
E36234
|
entity |
| Predicate | starCenter |
P31633
|
FINISHED |
| Object | red medallion with white eagle |
—
|
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: red medallion with white eagle | Statement: [Order of the White Eagle (Poland), starCenter, red medallion with white eagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starCenter Context triple: [Order of the White Eagle (Poland), starCenter, red medallion with white eagle]
-
A.
notableCenter
Indicates that an entity is recognized as an important or prominent central point, hub, or focal location for another entity or activity.
-
B.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
C.
allStarForward
Indicates that an entity serves as a forward in a sport and has been recognized as an all-star at that position.
-
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.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab271be3f4819091adcd745dec8159 |
completed | March 6, 2026, 7:12 p.m. |
Created at: March 4, 2026, 7:29 p.m.