Triple
T30924275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independence of South Sudan |
E787814
|
entity |
| Predicate | continentOfNewState |
P186968
|
FINISHED |
| Object | Africa |
—
|
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: Africa | Statement: [Independence of South Sudan, continentOfNewState, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfNewState Context triple: [Independence of South Sudan, continentOfNewState, Africa]
-
A.
continentOfCoastalState
Indicates that a given continent is the one on which a specified coastal state is geographically located.
-
B.
continentOfMemberStates
Indicates that a specified continent is the geographic region in which the member states of a given organization or group are located.
-
C.
continentOfGovernedEntity
Indicates that a governing entity (such as a country, state, or administrative body) is located on or associated with a particular continent.
-
D.
continentOfColonyFounded
Indicates the continent on which a particular colony was originally founded.
-
E.
continentType
Indicates that one entity is classified as a specific type or category of continent in relation to another entity.
- 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_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: April 29, 2026, 8:51 p.m.