Triple
T12921107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bäherden District |
E309121
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Bäherden |
E1011689
|
NE 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: Bäherden | Statement: [Bäherden District, hasCapital, Bäherden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bäherden Context triple: [Bäherden District, hasCapital, Bäherden]
-
A.
Bäherden
chosen
Bäherden is a town in southern Turkmenistan that serves as a local administrative and economic center within the Ahal Region.
-
B.
Baerl
Baerl is a district of the German city of Duisburg, located in the Homberg/Ruhrort/Baerl borough in North Rhine-Westphalia.
-
C.
Helfaut
Helfaut is a small commune in the Pas-de-Calais department in northern France, known for its rural character and proximity to the town of Saint-Omer.
-
D.
Heldrungen
Heldrungen is a small town in the German state of Thuringia, notable for its historic water castle and location near the confluence of the Unstrut and Wipper rivers.
-
E.
Burkardroth
Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d39d4c81908fab65129f292862 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:41 p.m.