Triple
T10361997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diada |
E244159
|
entity |
| Predicate | associatedSymbol |
P129
|
FINISHED |
| Object | Senyera |
E48716
|
NE 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: Senyera | Statement: [Diada, associatedSymbol, Senyera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senyera Context triple: [Diada, associatedSymbol, Senyera]
-
A.
Senyera
chosen
The Senyera is the traditional red-and-gold striped flag that serves as the historic and national symbol of Catalonia and other Catalan-speaking regions.
-
B.
Bandeira
Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
-
C.
Flagg
Flagg is a sinister sorcerer and recurring villain in Stephen King’s works, notably serving as the manipulative antagonist in the fantasy novel "The Eyes of the Dragon."
-
D.
Flagg
Flagg is a surname most notably associated with American artist and illustrator James Montgomery Flagg, famed for creating the iconic "I Want YOU for U.S. Army" Uncle Sam poster.
-
E.
Flag of Indonesia
The Flag of Indonesia is a simple horizontal bicolor of red over white that serves as the national flag and symbol of the Republic of Indonesia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e962f08c8190a7ac489dc524510d |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750bcf00081909b44ffa5df76aec1 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.