Triple
T20456644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erkrath |
E501804
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Cernay-la-Ville
Cernay-la-Ville is a small commune in the Yvelines department of north-central France, known for its rural character and proximity to the Rambouillet forest.
|
E1433155
|
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: Cernay-la-Ville | Statement: [Erkrath, hasTwinTown, Cernay-la-Ville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cernay-la-Ville Context triple: [Erkrath, hasTwinTown, Cernay-la-Ville]
-
A.
Cernay
Cernay is a commune in the Haut-Rhin department of northeastern France, known for its location in the Alsace region and its historical and cultural heritage.
-
B.
Cernay
Cernay is a locality within the arrondissement of Argenteuil in the Île-de-France region of northern France.
-
C.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
D.
Neuvilly
Neuvilly is a commune in northern France located within the Nord department in the Hauts-de-France region.
-
E.
Charpennes
Charpennes is a prominent urban district in the Lyon metropolitan area, known for its major transport hub and dense residential and commercial activity.
- 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: Cernay-la-Ville Triple: [Erkrath, hasTwinTown, Cernay-la-Ville]
Generated description
Cernay-la-Ville is a small commune in the Yvelines department of north-central France, known for its rural character and proximity to the Rambouillet forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cernay-la-Ville Target entity description: Cernay-la-Ville is a small commune in the Yvelines department of north-central France, known for its rural character and proximity to the Rambouillet forest.
-
A.
Cernay
Cernay is a commune in the Haut-Rhin department of northeastern France, known for its location in the Alsace region and its historical and cultural heritage.
-
B.
Cernay
Cernay is a locality within the arrondissement of Argenteuil in the Île-de-France region of northern France.
-
C.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
-
D.
Neuvilly
Neuvilly is a commune in northern France located within the Nord department in the Hauts-de-France region.
-
E.
Charpennes
Charpennes is a prominent urban district in the Lyon metropolitan area, known for its major transport hub and dense residential and commercial activity.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b10b6608190a88f466dccf31322 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c75b09081908a35bc7a9b6a45ce |
completed | May 16, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d8c3ab08190a399dba52e3c99f5 |
completed | May 16, 2026, 3:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.