Triple
T16442416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annaberg-Buchholz mining landscape |
E399336
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Annaberg-Buchholz |
E221710
|
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: Annaberg-Buchholz | Statement: [Annaberg-Buchholz mining landscape, locatedIn, Annaberg-Buchholz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annaberg-Buchholz Context triple: [Annaberg-Buchholz mining landscape, locatedIn, Annaberg-Buchholz]
-
A.
Annaberg-Buchholz
chosen
Annaberg-Buchholz is a historic mining town in eastern Germany known for its rich ore-mining heritage and traditional Christmas folk art.
-
B.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
C.
Schkeuditz
Schkeuditz is a town in the German state of Saxony, situated between Leipzig and Halle and known as an important regional transport hub.
-
D.
Böhlen
Böhlen is a small town in the Leipzig district of Saxony, Germany, known for its lignite mining and power generation industries.
-
E.
Wunsiedel
Wunsiedel is a historic town in northeastern Bavaria, Germany, known for its location in the Fichtel Mountains and its traditional Franconian architecture.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfbbbb888190b750d8f4c005ee42 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:10 a.m.