Triple
T22473915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S11 line |
E555575
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Seuzach
Seuzach is a municipality in the canton of Zurich in northern Switzerland, situated near the city of Winterthur.
|
E1541461
|
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: Seuzach | Statement: [S11 line, connects, Seuzach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seuzach Context triple: [S11 line, connects, Seuzach]
-
A.
Chassieu
Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
-
B.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
C.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
D.
Chevenoz
Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
-
E.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
- 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: Seuzach Triple: [S11 line, connects, Seuzach]
Generated description
Seuzach is a municipality in the canton of Zurich in northern Switzerland, situated near the city of Winterthur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seuzach Target entity description: Seuzach is a municipality in the canton of Zurich in northern Switzerland, situated near the city of Winterthur.
-
A.
Chassieu
Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
-
B.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
C.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
-
D.
Chevenoz
Chevenoz is a small rural commune in the Haute-Savoie department of southeastern France, situated in the Alpine Vallée d’Abondance near the Swiss border.
-
E.
Lussy
Lussy is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1dcbbc188190a434a099a1c56fcc |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1eac7c448190992542de2c156b05 |
completed | May 18, 2026, 2:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1f3db4748190980d183b81c3ea43 |
completed | May 18, 2026, 2:16 p.m. |
Created at: April 16, 2026, 8:49 p.m.