Triple
T14157426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ufenau |
E350847
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Lützelau |
E350848
|
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: Lützelau | Statement: [Ufenau, nearbyIsland, Lützelau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lützelau Context triple: [Ufenau, nearbyIsland, Lützelau]
-
A.
Lützelau
chosen
Lützelau is a small, protected island in Lake Zurich, Switzerland, known for its natural beauty, campsite, and recreational facilities.
-
B.
Lützel
Lützel is a district of the German city of Koblenz, located on the opposite bank of the Moselle River from the historic city center.
-
C.
Gieselau
Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
-
D.
Lunzenau
Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
-
E.
Lützenkirchen
Lützenkirchen is a district of the German city of Leverkusen, located in the state of North Rhine-Westphalia.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.