Triple
T38492866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwe–Botswana border |
E918101
|
entity |
| Predicate | hasNearbyTownInBotswana |
P202883
|
FINISHED |
| Object | Francistown |
—
|
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: Francistown | Statement: [Zimbabwe–Botswana border, hasNearbyTownInBotswana, Francistown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyTownInBotswana Context triple: [Zimbabwe–Botswana border, hasNearbyTownInBotswana, Francistown]
-
A.
nearbyCountryTownOnNamibiaSide
Indicates that a town is located near a country border and lies on the side belonging to Namibia.
-
B.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
-
C.
hasBorderTownOnZambianSide
Indicates that a town is located on the Zambian side of a border shared with another country.
-
D.
hasTribalHeadquartersNearby
Indicates that the subject entity is located close to the tribal headquarters of a Native nation or tribe.
-
E.
hasNearbyTownType
Indicates that one entity has, in its vicinity, a town of a specified type or classification.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00ca5e907481909d391afd55938a1b |
completed | May 10, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a00ca2214348190a674a85ede709e2e |
completed | May 10, 2026, 6:10 p.m. |
| PDg | Predicate description generation | batch_6a00ca5de6748190bc67a1fd9f3d0b3a |
completed | May 10, 2026, 6:11 p.m. |
Created at: May 3, 2026, 4:31 p.m.