Triple
T30924312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independence of South Sudan |
E787814
|
entity |
| Predicate | roleOfSalvaKiir |
P178339
|
FINISHED |
| Object | became first President of South Sudan |
—
|
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: became first President of South Sudan | Statement: [Independence of South Sudan, roleOfSalvaKiir, became first President of South Sudan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfSalvaKiir Context triple: [Independence of South Sudan, roleOfSalvaKiir, became first President of South Sudan]
-
A.
roleInKirbySuperStar
Indicates the specific function or part an entity plays within the context of the game *Kirby Super Star*.
-
B.
roleAtSavoIsland
Indicates the specific role, position, or function an entity held in relation to the event or context associated with Savo Island.
-
C.
roleInTauris
Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
-
D.
roleInKuomboka
Indicates that an entity holds a specific role or function within the context of the Kuomboka ceremony or event.
-
E.
roleInRescue
Indicates the specific function or responsibility an entity has within a rescue operation or event.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 29, 2026, 8:51 p.m.