Triple
T9218417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg Province |
E221297
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Rendeux
Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
|
E786048
|
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: Rendeux | Statement: [Luxembourg Province, containsTown, Rendeux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rendeux Context triple: [Luxembourg Province, containsTown, Rendeux]
-
A.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
B.
Reville
Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
-
C.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
D.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
E.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
- 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: Rendeux Triple: [Luxembourg Province, containsTown, Rendeux]
Generated description
Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rendeux Target entity description: Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
-
A.
Fontenais
Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
-
B.
Reville
Reville is an English surname most notably associated with Alma Reville, a film editor and screenwriter who collaborated closely with her husband, director Alfred Hitchcock.
-
C.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
D.
Choulex
Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
-
E.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662427dc81908cb9bfacc5b9e0f5 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0697b506c8190b14acbec1266f4bc |
completed | April 4, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d06a01520081908f697cf285c88c00 |
completed | April 4, 2026, 1:31 a.m. |
Created at: March 30, 2026, 7:27 p.m.