Triple
T13284558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Castile and León |
E316408
|
entity |
| Predicate | usedAsCivilFlag |
P63216
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Flag of Castile and León, usedAsCivilFlag, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsCivilFlag Context triple: [Flag of Castile and León, usedAsCivilFlag, yes]
-
A.
useNationalFlag
Indicates that an entity employs or displays the national flag in a particular context or for a specific purpose.
-
B.
adoptedAsRegionalFlagInCountry
Indicates that a flag has been officially adopted for use as a regional flag within a specific country.
-
C.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
D.
isCivilEnsignOf
Indicates that an object is the civil (non-military) ensign or flag officially used to represent a particular entity, typically a country or territory.
-
E.
isCivilFlag
chosen
Indicates that the flag is used for civil purposes, typically by private citizens or non-military, non-governmental entities.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.