Triple
T36681507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khama III of the Bangwato |
E905693
|
entity |
| Predicate | protectedTerritory |
P175239
|
FINISHED |
| Object | Bechuanaland |
—
|
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: Bechuanaland | Statement: [Khama III of the Bangwato, protectedTerritory, Bechuanaland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectedTerritory Context triple: [Khama III of the Bangwato, protectedTerritory, Bechuanaland]
-
A.
securedTerritory
chosen
Indicates that an entity has successfully gained and established control over a specific territory, typically through force, negotiation, or strategic action.
-
B.
protectedGround
Indicates that one entity has taken action to safeguard or defend another entity or area from harm, damage, or unauthorized interference.
-
C.
protectedAreaCountry
Indicates that a protected area is located within and legally falls under the jurisdiction of a specific country.
-
D.
sectorProtected
Indicates that a particular sector or area is safeguarded from harm, access, or exploitation by some form of protection or regulation.
-
E.
protectedFor
Indicates that something is safeguarded or preserved specifically for the benefit, use, or rights of a particular entity or purpose.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7bf4f50819082837d78e7e77941 |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.