Triple
T5234253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitterfeld-Wolfen |
E118183
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Villefontaine
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
|
E526177
|
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: Villefontaine | Statement: [Bitterfeld-Wolfen, hasTwinTown, Villefontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villefontaine Context triple: [Bitterfeld-Wolfen, hasTwinTown, Villefontaine]
-
A.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
B.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
C.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
D.
Villeurbannais
Villeurbannais is the French term for an inhabitant or native of the city of Villeurbanne, located near Lyon in eastern France.
-
E.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
- 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: Villefontaine Triple: [Bitterfeld-Wolfen, hasTwinTown, Villefontaine]
Generated description
Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villefontaine Target entity description: Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
-
A.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
B.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
C.
Fougères
Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
-
D.
Villeurbannais
Villeurbannais is the French term for an inhabitant or native of the city of Villeurbanne, located near Lyon in eastern France.
-
E.
Boussy-Saint-Antoine
Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b04c03481908d901788ce2c4128 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfaf2bc1348190a92833a4c4e0e4cd |
completed | March 22, 2026, 8:58 a.m. |
| NEDg | Description generation | batch_69bfafba6bd08190a6a492900fb6ba3a |
completed | March 22, 2026, 9 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfb00d6ccc8190b7f901fdeb106886 |
completed | March 22, 2026, 9:02 a.m. |
Created at: March 20, 2026, 1:49 p.m.