Triple
T29906619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio 2016 logo |
E759553
|
entity |
| Predicate | hasScriptStyle |
P1609
|
FINISHED |
| Object | calligraphic wordmark |
—
|
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: calligraphic wordmark | Statement: [Rio 2016 logo, hasScriptStyle, calligraphic wordmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptStyle Context triple: [Rio 2016 logo, hasScriptStyle, calligraphic wordmark]
-
A.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
hasScriptCode
Indicates that an entity is associated with a particular writing system identified by a specific script code.
-
C.
containsScript
Indicates that one entity includes or embeds the script of another entity within it.
-
D.
hasScriptBy
Indicates that one entity has its script authored, written, or created by another entity.
-
E.
hasScriptScope
Indicates that something is associated with, defined within, or limited to a particular script’s scope or execution context.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 29, 2026, 6:08 p.m.