Triple
T33344512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Zubrowka |
E853758
|
entity |
| Predicate | hasOfficialSymbolInFilm |
P183535
|
FINISHED |
| Object | fictional national flag of Zubrowka |
—
|
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: fictional national flag of Zubrowka | Statement: [Republic of Zubrowka, hasOfficialSymbolInFilm, fictional national flag of Zubrowka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialSymbolInFilm Context triple: [Republic of Zubrowka, hasOfficialSymbolInFilm, fictional national flag of Zubrowka]
-
A.
haveOfficialSymbols
Indicates that an entity possesses formally recognized symbols (such as flags, emblems, or insignia) that officially represent it.
-
B.
hasOfficialFilm
Indicates that an entity has an officially recognized film associated with it.
-
C.
hasSacredSymbol
Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
-
D.
hasFictionalSignText
Indicates that an entity bears or is associated with text appearing on a fictional sign (e.g., wording depicted on an in-universe sign).
-
E.
notOfficialSymbolOf
Indicates that something is explicitly not recognized or designated as the official symbol of a given entity.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 1, 2026, 1:34 a.m.