Triple
T4876276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of South Georgia and the South Sandwich Islands |
E109211
|
entity |
| Predicate | usesUnionFlag |
P60399
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Flag of South Georgia and the South Sandwich Islands, usesUnionFlag, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesUnionFlag Context triple: [Flag of South Georgia and the South Sandwich Islands, usesUnionFlag, yes]
-
A.
inUnionFlagRepresents
Indicates that one entity is represented or symbolized by its inclusion on the union flag of another entity.
-
B.
introducedIntoUnionFlag
Indicates that an entity (such as a state or region) was formally admitted or incorporated into a union or larger political entity.
-
C.
endedUnionBetween
Indicates that one entity caused or marked the termination of a union, alliance, or partnership with another entity.
-
D.
hasUnionRepresentation
Indicates that an entity is represented by a labor union in negotiations or employment-related matters.
-
E.
effectOfUnion
Indicates the outcome or consequence that results from forming a union or combining entities.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c28e56081908ee411ac94c3769e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:27 p.m.