Triple
T6321305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flags of Ecuador |
E141743
|
entity |
| Predicate | provincialFlagsDesignBasis |
P70038
|
FINISHED |
| Object | Ecuadorian tricolor or local symbols |
—
|
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: Ecuadorian tricolor or local symbols | Statement: [Flags of Ecuador, provincialFlagsDesignBasis, Ecuadorian tricolor or local symbols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provincialFlagsDesignBasis Context triple: [Flags of Ecuador, provincialFlagsDesignBasis, Ecuadorian tricolor or local symbols]
-
A.
civilFlagDesign
Indicates the design or pattern used on the civil (non-state) version of a flag.
-
B.
subnationalFlagOf
Indicates that one flag represents or is officially used by a subnational entity (such as a state, province, or region) within a larger sovereign country.
-
C.
flagDesigner
Indicates that one entity is the person or group responsible for designing the flag associated with another entity.
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
coatOfArmsOnFlag
Indicates that a flag features or displays a particular coat of arms as part of its design.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c61f008190b316b9ff1023b057 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:29 p.m.