Triple
T30506864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue-White-Sky Blues |
E776298
|
entity |
| Predicate | denotesIdentity |
P6594
|
FINISHED |
| Object | traditional colors of Zenit Saint Petersburg |
—
|
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: traditional colors of Zenit Saint Petersburg | Statement: [The Blue-White-Sky Blues, denotesIdentity, traditional colors of Zenit Saint Petersburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesIdentity Context triple: [The Blue-White-Sky Blues, denotesIdentity, traditional colors of Zenit Saint Petersburg]
-
A.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
B.
hasIdentity
chosen
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
C.
identifiedIn
Indicates that an entity is recognized, discovered, or documented within a specified source, context, or location.
-
D.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another entity.
-
E.
identityShapedBy
Indicates that one entity’s identity is influenced, formed, or defined by another entity or factor.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687b4dddc8190a59fd13d2f8a2e16 |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:15 p.m.