Triple
T21205267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Iburg |
E522559
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Georgsmarienhütte |
E522566
|
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: Georgsmarienhütte | Statement: [Bad Iburg, locatedNear, Georgsmarienhütte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgsmarienhütte Context triple: [Bad Iburg, locatedNear, Georgsmarienhütte]
-
A.
Georgsmarienhütte
chosen
Georgsmarienhütte is a town in Lower Saxony, Germany, historically shaped by its steel industry and located just south of the city of Osnabrück.
-
B.
Josefinenhütte
Josefinenhütte is a locality within Vienna’s Döbling district, known primarily as a recreational spot in the Vienna Woods.
-
C.
Königshütte
Königshütte is a village in the Harz region of central Germany, known for its scenic surroundings, reservoirs, and hiking opportunities.
-
D.
Hohenthann
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
-
E.
Fischerhütte
Fischerhütte is a well-known mountain hut located near the summit of the Schneeberg in Lower Austria, serving as a popular rest stop for hikers and climbers.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097ed0fc988190b112058f5bb03515 |
completed | May 17, 2026, 8:39 a.m. |
Created at: April 16, 2026, 3:20 p.m.