Triple
T3336783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limmat |
E70156
|
entity |
| Predicate | hasBridge |
P386
|
FINISHED |
| Object |
Lettensteg
Lettensteg is a pedestrian bridge spanning the Limmat River in Zurich, Switzerland, connecting paths along the former Letten railway viaduct.
|
E349665
|
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: Lettensteg | Statement: [Limmat, hasBridge, Lettensteg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lettensteg Context triple: [Limmat, hasBridge, Lettensteg]
-
A.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
B.
Oberengstringen
Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
C.
Kreuzlingen
Kreuzlingen is a Swiss town in the canton of Thurgau, located on the southern shore of Lake Constance near the German border.
-
D.
Zuchwil
Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
E.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
- 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: Lettensteg Triple: [Limmat, hasBridge, Lettensteg]
Generated description
Lettensteg is a pedestrian bridge spanning the Limmat River in Zurich, Switzerland, connecting paths along the former Letten railway viaduct.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lettensteg Target entity description: Lettensteg is a pedestrian bridge spanning the Limmat River in Zurich, Switzerland, connecting paths along the former Letten railway viaduct.
-
A.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
B.
Oberengstringen
Oberengstringen is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
C.
Kreuzlingen
Kreuzlingen is a Swiss town in the canton of Thurgau, located on the southern shore of Lake Constance near the German border.
-
D.
Zuchwil
Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
E.
Oberegg
Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c393f20819098d5761372d6a980 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3206be2748190874560701dc1ed18 |
completed | March 12, 2026, 8:22 p.m. |
Created at: March 8, 2026, 3:12 p.m.