Triple
T3476547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagus Factory |
E73389
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Alfeld an der Leine |
E160779
|
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: Alfeld an der Leine | Statement: [Fagus Factory, locatedIn, Alfeld an der Leine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfeld an der Leine Context triple: [Fagus Factory, locatedIn, Alfeld an der Leine]
-
A.
Alfeld
chosen
Alfeld is a small German town in Lower Saxony known for its industrial heritage and the UNESCO-listed Fagus Factory.
-
B.
Altenau
Altenau is a small town in Germany’s Harz Mountains, historically known as a mining and spa resort surrounded by dense forests and mountain landscapes.
-
C.
Hasselfelde
Hasselfelde is a small town in the Harz region of central Germany, now incorporated into the municipality of Oberharz am Brocken.
-
D.
Wülfrath
Wülfrath is a small town in North Rhine-Westphalia, western Germany, known historically for its limestone quarrying and rural character.
-
E.
Rosdorf
Rosdorf is a municipality in Lower Saxony, Germany, situated near the city of Göttingen.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5a5cb88190be5624ae224e4c91 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373b2058081908558bdea4043b051 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:17 p.m.