Triple
T32150957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Transition Assistance Group |
E821155
|
entity |
| Predicate | territoryNameAtTime |
P89606
|
FINISHED |
| Object | South West 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: South West Africa | Statement: [United Nations Transition Assistance Group, territoryNameAtTime, South West Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territoryNameAtTime Context triple: [United Nations Transition Assistance Group, territoryNameAtTime, South West Africa]
-
A.
territoryAtTime
Indicates that a specified territory is associated with or held by an entity during a particular time or time interval.
-
B.
historicalAdministrativeRegionName
chosen
Indicates the name assigned to an administrative region as it existed during a specific historical period.
-
C.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
D.
historicalTerritoryType
Indicates that a territory is classified according to a specific type or category it held during a historical period.
-
E.
countryAtTheTime
Indicates that an entity is associated with a specific country as it existed at a particular point in time.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 12:31 a.m.