Triple
T35996293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisła Kraków |
E1040995
|
entity |
| Predicate | hasBadgeElement |
P73721
|
FINISHED |
| Object | white star on red background |
—
|
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: white star on red background | Statement: [Wisła Kraków, hasBadgeElement, white star on red background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBadgeElement Context triple: [Wisła Kraków, hasBadgeElement, white star on red background]
-
A.
hasBadgeFeature
Indicates that one entity includes, supports, or is associated with a particular badge-related feature of another entity.
-
B.
hasBadgeNumber
Indicates that an entity is associated with a specific badge identification number.
-
C.
hasBadgeSystem
Indicates that an entity includes or supports a badge-based system for recognizing or tracking achievements, statuses, or milestones.
-
D.
hasEmblemElement
chosen
Indicates that an emblem includes or features a specific element as one of its components.
-
E.
hasCrestBadge
Indicates that an entity possesses or is associated with a specific crest badge.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 3, 2026, 4:07 p.m.