Triple
T18621721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangerhausen |
E455166
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Baunatal |
—
|
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: Baunatal | Statement: [Sangerhausen, hasTwinTown, Baunatal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baunatal Context triple: [Sangerhausen, hasTwinTown, Baunatal]
-
A.
Baunatal
chosen
Baunatal is a town in the German state of Hesse, known for its large Volkswagen manufacturing plant and its proximity to the city of Kassel.
-
B.
Ostabat
Ostabat is a village in southwestern France known as a historic convergence point for several major pilgrimage routes to Santiago de Compostela.
-
C.
Satala
Satala was an important Roman military stronghold in ancient Armenia Minor, strategically located near the empire’s eastern frontier.
-
D.
Satala
Satala is a coastal village and harbor area on the island of Tutuila in American Samoa, known historically as a commercial and maritime hub near the capital region.
-
E.
Balanjar
Balanjar was an early medieval city in the North Caucasus that served as one of the principal political and military centers of the Khazar Khaganate.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0146f48190a872032db6e660c6 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.