Triple
T3939868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulster Banner |
E92007
|
entity |
| Predicate | statusInUnitedKingdom |
P44098
|
FINISHED |
| Object | no longer an official flag |
—
|
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: no longer an official flag | Statement: [Ulster Banner, statusInUnitedKingdom, no longer an official flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInUnitedKingdom Context triple: [Ulster Banner, statusInUnitedKingdom, no longer an official flag]
-
A.
statusInUK
chosen
Indicates the legal or official status that an entity holds within the United Kingdom (e.g., immigration, residency, or authorization category).
-
B.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
C.
statusInRepublicOfIreland
Indicates the legal or official status that an entity holds within the jurisdiction of the Republic of Ireland.
-
D.
countrySpecificStatus
Indicates a status or condition that is defined or applied specifically in the context of a particular country.
-
E.
statusInEnglishLaw
Indicates the legal standing, classification, or condition of something as defined within the framework of English law.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.