Triple
T9867497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seesen |
E239870
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Harz region |
E14581
|
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: Harz region | Statement: [Seesen, locatedIn, Harz region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harz region Context triple: [Seesen, locatedIn, Harz region]
-
A.
Harz district
Harz district is an administrative district in central Germany known for encompassing much of the Harz mountain range, including historic towns and natural landscapes.
-
B.
Harz
chosen
Harz is a low mountain range in central Germany known for its dense forests, mining history, and association with German folklore such as the Brocken and Walpurgis Night.
-
C.
Saale-Holzland region
The Saale-Holzland region is a rural district in the German state of Thuringia, known for its Saale River landscapes, forests, and small historic towns.
-
D.
Halle (Saale) region
The Halle (Saale) region is an area in the German state of Saxony-Anhalt centered around the city of Halle, known for its historical significance, industrial heritage, and location along major rivers.
-
E.
Weserbergland
Weserbergland is a hilly, forested region in central Germany known for its picturesque landscapes along the Weser River and numerous historic towns.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22886b2388190a4320eeb81f3e433 |
completed | April 5, 2026, 9:16 a.m. |
Created at: March 30, 2026, 8:36 p.m.