Triple
T14347757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurométropole de Strasbourg |
E355770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Eschau
Eschau is a small commune in northeastern France located near Strasbourg in the Grand Est region.
|
E1106169
|
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: Eschau | Statement: [Eurométropole de Strasbourg, contains, Eschau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eschau Context triple: [Eurométropole de Strasbourg, contains, Eschau]
-
A.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
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.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
- 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: Eschau Triple: [Eurométropole de Strasbourg, contains, Eschau]
Generated description
Eschau is a small commune in northeastern France located near Strasbourg in the Grand Est region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eschau Target entity description: Eschau is a small commune in northeastern France located near Strasbourg in the Grand Est region.
-
A.
Niederbühl
Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
-
B.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
C.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
-
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.
Küsnacht
Küsnacht is a picturesque Swiss municipality on the shores of Lake Zurich, known for its affluent residential character and scenic lakeside setting.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8d081c8190ac805726a3e98f4c |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa530fc81908aecc4439eea4c01 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8dd4c2648190b4862085b84d9670 |
completed | May 8, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8e7dcc188190b56551dfb266c118 |
completed | May 8, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:14 a.m.