Triple
T18239772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirzel Pass |
E436776
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Sihlbrugg
Sihlbrugg is a small settlement and transport junction in the canton of Zurich, Switzerland, known for its strategic location at the intersection of major roads and rail lines.
|
E1318645
|
NE FINISHED |
How this triple was built (4 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: Sihlbrugg | Statement: [Hirzel Pass, locatedNear, Sihlbrugg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sihlbrugg Context triple: [Hirzel Pass, locatedNear, Sihlbrugg]
-
A.
Embrach
Embrach is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Sihltal
Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
-
D.
Herrliberg
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.
-
E.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sihlbrugg Triple: [Hirzel Pass, locatedNear, Sihlbrugg]
Generated description
Sihlbrugg is a small settlement and transport junction in the canton of Zurich, Switzerland, known for its strategic location at the intersection of major roads and rail lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sihlbrugg Target entity description: Sihlbrugg is a small settlement and transport junction in the canton of Zurich, Switzerland, known for its strategic location at the intersection of major roads and rail lines.
-
A.
Embrach
Embrach is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
-
B.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
C.
Sihltal
Sihltal is a Swiss valley in the canton of Zurich shaped by the Sihl River, known for its scenic landscapes and proximity to the city of Zurich.
-
D.
Herrliberg
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.
-
E.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
- F. None of above. chosen
Provenance (5 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e19d9881908d6a227528241e4a |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4b2915c819080678dbcd0558e65 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c582c9fc8190a656bb9e5544b5cf |
completed | May 13, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c64c02288190903c7e9123ca5a79 |
completed | May 13, 2026, 12:31 a.m. |
Created at: April 10, 2026, 10:33 a.m.