Triple
T6917123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botswana and Zimbabwe |
E160088
|
entity |
| Predicate | areLandlocked |
P4368
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Botswana and Zimbabwe, areLandlocked, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areLandlocked Context triple: [Botswana and Zimbabwe, areLandlocked, true]
-
A.
landlocked
chosen
Indicates that a place has no direct access to the open sea or ocean, being entirely surrounded by land or enclosed bodies of water.
-
B.
isLandlockedWithinIsland
Indicates that an entity has no direct access to the open sea and is entirely surrounded by land that itself is part of an island.
-
C.
hasNoPermanentSettlements
Indicates that the subject does not maintain any long-term or stable inhabited locations.
-
D.
longestLandBorderWith
Indicates that two entities share a land border and that this border is the longest land border for at least one of the entities.
-
E.
countryAnnexedBy
Indicates that a country has been taken over and incorporated into the territory of another state through annexation.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e034cc81908f1e8f31b055e119 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.