Triple
T4732945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Pitcairn Islands |
E105053
|
entity |
| Predicate | vexillologicalCategory |
P58469
|
FINISHED |
| Object | flags of British Overseas Territories |
—
|
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: flags of British Overseas Territories | Statement: [Flag of Pitcairn Islands, vexillologicalCategory, flags of British Overseas Territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vexillologicalCategory Context triple: [Flag of Pitcairn Islands, vexillologicalCategory, flags of British Overseas Territories]
-
A.
vexillologyCode
Indicates a standardized code or classification assigned within the context of flags or the study of flags (vexillology).
-
B.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
C.
civilFlagDesign
Indicates the design or pattern used on the civil (non-state) version of a flag.
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
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.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd637e19e081909e415544106c7835 |
completed | March 20, 2026, 3:10 p.m. |
Created at: March 20, 2026, 1:19 p.m.