Triple
T16274737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houyet |
E395094
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Celles
Celles is a picturesque village in the Walloon municipality of Houyet in southern Belgium, known for its historic church and scenic rural surroundings.
|
E1204629
|
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: Celles | Statement: [Houyet, hasSettlement, Celles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celles Context triple: [Houyet, hasSettlement, Celles]
-
A.
Celles
Celles is a small French village in the Hérault department of southern France, known for its picturesque location on the shores of the artificial Lac du Salagou.
-
B.
Celle
Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
-
C.
Cellese
Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
-
D.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
-
E.
Celle line
The Celle line was a cadet branch of the House of Brunswick-Lüneburg that ruled the Principality of Lüneburg from the town of Celle in early modern 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: Celles Triple: [Houyet, hasSettlement, Celles]
Generated description
Celles is a picturesque village in the Walloon municipality of Houyet in southern Belgium, known for its historic church and scenic rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celles Target entity description: Celles is a picturesque village in the Walloon municipality of Houyet in southern Belgium, known for its historic church and scenic rural surroundings.
-
A.
Celles
Celles is a small French village in the Hérault department of southern France, known for its picturesque location on the shores of the artificial Lac du Salagou.
-
B.
Celle
Celle is a historic town in northern Germany renowned for its well-preserved half-timbered old town and ducal palace.
-
C.
Cellese
Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
-
D.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
-
E.
Celle line
The Celle line was a cadet branch of the House of Brunswick-Lüneburg that ruled the Principality of Lüneburg from the town of Celle in early modern 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460c2d948190813b66e539a64a70 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a001a35b43081909b44a22798b1ef1b |
completed | May 10, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a93530c81908cb4180d9ebe9850 |
completed | May 10, 2026, 5:41 a.m. |
Created at: April 10, 2026, 5:05 a.m.