Triple
T1238541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Réunion |
E26602
|
entity |
| Predicate | officialFlag |
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: [Réunion, officialFlag, flag of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialFlag Context triple: [Réunion, officialFlag, flag of France]
-
A.
nationalFlag
chosen
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
B.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
C.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
D.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
E.
adoptedAsNationalFlagOn
Indicates that an entity was officially chosen and put into use as a country's national flag on a specific date.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf406b988190a12aa26bbcb88d6a |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.