Triple
T14347759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurométropole de Strasbourg |
E355770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lipsheim
Lipsheim is a small commune in northeastern France, situated in the Bas-Rhin department within the Alsace region.
|
E1092751
|
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: Lipsheim | Statement: [Eurométropole de Strasbourg, contains, Lipsheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipsheim Context triple: [Eurométropole de Strasbourg, contains, Lipsheim]
-
A.
Landsberg
Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
-
B.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
C.
Neustadt of Strasbourg
Neustadt of Strasbourg is a historic late 19th- and early 20th-century urban district in Strasbourg, France, renowned for its monumental German imperial architecture and recognized as a UNESCO World Heritage Site.
-
D.
Maichingen
Maichingen is a district of the city of Sindelfingen in the German state of Baden-Württemberg.
-
E.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, 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: Lipsheim Triple: [Eurométropole de Strasbourg, contains, Lipsheim]
Generated description
Lipsheim is a small commune in northeastern France, situated in the Bas-Rhin department within the Alsace region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lipsheim Target entity description: Lipsheim is a small commune in northeastern France, situated in the Bas-Rhin department within the Alsace region.
-
A.
Landsberg
Landsberg is a town in the Saalekreis district of the German state of Saxony-Anhalt.
-
B.
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
C.
Neustadt of Strasbourg
Neustadt of Strasbourg is a historic late 19th- and early 20th-century urban district in Strasbourg, France, renowned for its monumental German imperial architecture and recognized as a UNESCO World Heritage Site.
-
D.
Maichingen
Maichingen is a district of the city of Sindelfingen in the German state of Baden-Württemberg.
-
E.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, 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_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_69fd46a12ad08190a2f0dc5890ed5ce9 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4768edc881909a0c586b6d9568a3 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47eb7db08190a68f60b255073d8d |
completed | May 8, 2026, 2:18 a.m. |
Created at: April 10, 2026, 1:14 a.m.