Triple
T3036742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisła Kraków |
E83027
|
entity |
| Predicate | hasStarSymbol |
P12876
|
FINISHED |
| Object | five-pointed white 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: five-pointed white star | Statement: [Wisła Kraków, hasStarSymbol, five-pointed white star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarSymbol Context triple: [Wisła Kraków, hasStarSymbol, five-pointed white star]
-
A.
hasStarOn
chosen
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
B.
containsAsterism
Indicates that one entity includes or encompasses an asterism (a recognizable pattern or grouping of stars) within its extent or definition.
-
C.
hasBrightStar
Indicates that one entity possesses, contains, or is associated with a star characterized by high brightness.
-
D.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
E.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2cd4988190b52fe3616ecbe9ef |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.