Triple
T7413387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saint Barthélemy |
E171065
|
entity |
| Predicate | sovereignFlag |
P754
|
FINISHED |
| Object | Flag of France |
—
|
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: Flag of France | Statement: [Flag of Saint Barthélemy, sovereignFlag, Flag of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sovereignFlag Context triple: [Flag of Saint Barthélemy, sovereignFlag, Flag of France]
-
A.
nationalFlag
chosen
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
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.
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.
-
D.
isWarEnsignOf
Indicates that one entity is the war ensign (a specific military or wartime flag) representing or belonging to another entity.
-
E.
flagOrInsignia
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c336308190932c14cec5eec25f |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.