Triple
T30924292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independence of South Sudan |
E787814
|
entity |
| Predicate | flagRaisedOf |
P159927
|
FINISHED |
| Object | South Sudan |
—
|
NE NERFINISHED |
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: South Sudan | Statement: [Independence of South Sudan, flagRaisedOf, South Sudan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagRaisedOf Context triple: [Independence of South Sudan, flagRaisedOf, South Sudan]
-
A.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
B.
flagOrInsignia
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
C.
flagElement
Indicates that one entity serves as a flag or marker element associated with another entity, typically used to signal a condition, state, or special handling.
-
D.
isWarEnsignOf
Indicates that one entity is the war ensign (a specific military or wartime flag) representing or belonging to another entity.
-
E.
coRaiserOfFlagWith
chosen
Indicates that one entity participated together with another entity in the act of raising a flag.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b82df881909350359a39daa9ff |
completed | May 3, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:51 p.m.