Triple
T17921212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest plain |
E448070
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Geseke |
—
|
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: Geseke | Statement: [Soest plain, contains, Geseke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geseke Context triple: [Soest plain, contains, Geseke]
-
A.
Geseke
chosen
Geseke is a small town in western Germany located in the historical region of Westphalia.
-
B.
Bothasig
Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
-
C.
Kriel
Kriel is a South African mining and power generation town in Mpumalanga province, known for its coal mines and proximity to major coal-fired power stations.
-
D.
Vryburg
Vryburg is a large agricultural and commercial town in South Africa’s North West Province, historically known as a key cattle-farming and transport hub.
-
E.
Witpoortjie
Witpoortjie is a residential suburb in Roodepoort, South Africa, known for its proximity to the Witpoortjie Falls and the Walter Sisulu National Botanical Garden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.