Triple
T13166285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Thonon-les-Bains |
E312857
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Allinges
Allinges is a commune in the Haute-Savoie department of southeastern France, known for its twin medieval castles overlooking the surrounding Chablais region.
|
E1023688
|
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: Allinges | Statement: [arrondissement of Thonon-les-Bains, contains, Allinges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allinges Context triple: [arrondissement of Thonon-les-Bains, contains, Allinges]
-
A.
Alling
Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
B.
Isling
Isling is a locality or district that forms part of the town of Lichtenfels in Germany.
-
C.
Alting
Alting is a Dutch surname historically associated with notable figures in law, politics, and colonial administration in the Netherlands.
-
D.
Estyn
Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
-
E.
Wethau
Wethau is a small river in central Germany that flows through Saxony-Anhalt and Thuringia before joining the Saale.
- 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: Allinges Triple: [arrondissement of Thonon-les-Bains, contains, Allinges]
Generated description
Allinges is a commune in the Haute-Savoie department of southeastern France, known for its twin medieval castles overlooking the surrounding Chablais region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allinges Target entity description: Allinges is a commune in the Haute-Savoie department of southeastern France, known for its twin medieval castles overlooking the surrounding Chablais region.
-
A.
Alling
Alling is a small municipality in Upper Bavaria, Germany, known for its rural character and proximity to the city of Munich.
-
B.
Isling
Isling is a locality or district that forms part of the town of Lichtenfels in Germany.
-
C.
Alting
Alting is a Dutch surname historically associated with notable figures in law, politics, and colonial administration in the Netherlands.
-
D.
Estyn
Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
-
E.
Wethau
Wethau is a small river in central Germany that flows through Saxony-Anhalt and Thuringia before joining the Saale.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf6c9ec8190bc0097d62e57e52a |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6ee07aa988190ad8bb3bc3ecf7890 |
completed | May 3, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6eef335b481908dbe6fb93c9d56f2 |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 9:13 p.m.