Triple
T1223546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French tricolour |
E26276
|
entity |
| Predicate | inspiredOtherFlags |
P26012
|
FINISHED |
| Object | flag of Italy |
—
|
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 Italy | Statement: [French tricolour, inspiredOtherFlags, flag of Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredOtherFlags Context triple: [French tricolour, inspiredOtherFlags, flag of Italy]
-
A.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
B.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
C.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
D.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
E.
flag
Indicates that one entity marks, signals, or draws attention to another entity, often to denote status, importance, or the need for review or action.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be233fd88190996faf4105c0b8d7 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb644af08190ba25905f20adb01a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd3140688190ac6e24de157fd61e |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:47 p.m.