Triple
T12084837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen, Germany |
E287779
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Örtze |
E173122
|
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: Örtze | Statement: [Bergen, Germany, locatedOnRiver, Örtze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Örtze Context triple: [Bergen, Germany, locatedOnRiver, Örtze]
-
A.
Örtze
chosen
Örtze is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
-
B.
Oderberg
Oderberg is a small historic town in northeastern Germany near the Oder River, known for its scenic natural surroundings and proximity to the Polish border.
-
C.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
D.
Labská
Labská is a mountain village and ski resort area that forms one of the local parts of the Czech town Špindlerův Mlýn in the Krkonoše (Giant) Mountains.
-
E.
Obersee
Obersee is a small, picturesque alpine lake in Bavaria, Germany, known for its clear emerald waters and dramatic mountain surroundings near the Königssee.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.