Triple
T14157363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stäfa |
E350846
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Herrliberg |
E1090112
|
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: Herrliberg | Statement: [Stäfa, neighboringMunicipality, Herrliberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herrliberg Context triple: [Stäfa, neighboringMunicipality, Herrliberg]
-
A.
Herrliberg
chosen
Herrliberg is a affluent residential municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland, known for its scenic lakeside setting and proximity to the city of Zurich.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Seengen
Seengen is a Swiss municipality in the canton of Aargau, known for its scenic location in the Seetal valley and proximity to Lake Hallwil.
-
D.
Eggenwil
Eggenwil is a small municipality in the canton of Aargau in northern Switzerland, situated near the Reuss River and characterized by its rural, village-like setting.
-
E.
Kiental
Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
- 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_69fd54fe6b048190a16695af6e269e86 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 12:58 a.m.