Triple
T14157395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ufenau |
E350847
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Freienbach |
E989921
|
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: Freienbach | Statement: [Ufenau, locatedNear, Freienbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freienbach Context triple: [Ufenau, locatedNear, Freienbach]
-
A.
Freienbach
chosen
Freienbach is a municipality in the Swiss canton of Schwyz, located on the shores of Lake Zurich and known for its favorable tax environment.
-
B.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
-
C.
Ödsbach
Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
-
D.
Eifgenbach
Eifgenbach is a small river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Wupper.
-
E.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
- 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_69fef883f2b88190807d9157e8d45e3c |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 12:58 a.m.