Triple
T2402411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Polar Star |
E50197
|
entity |
| Predicate | centralMedallion |
P39197
|
FINISHED |
| Object | blue field with a white 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: blue field with a white five-pointed star | Statement: [Order of the Polar Star, centralMedallion, blue field with a white five-pointed star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralMedallion Context triple: [Order of the Polar Star, centralMedallion, blue field with a white five-pointed star]
-
A.
centralCeremonyLocation
Indicates the place that serves as the primary or focal site where a ceremony is held.
-
B.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
C.
centralMystery
Indicates that something serves as the primary unresolved question or puzzle around which a narrative, situation, or investigation is structured.
-
D.
centralWork
Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
-
E.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abceaa42b88190a790355100fede3d |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:58 p.m.