Triple
T16619355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haut-Chablais |
E403781
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Lullin
Lullin is a small commune in the Haute-Savoie department of southeastern France, situated in the mountainous Haut-Chablais region of the French Alps.
|
E1223953
|
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: Lullin | Statement: [Haut-Chablais, hasMember, Lullin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lullin Context triple: [Haut-Chablais, hasMember, Lullin]
-
A.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
B.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
C.
Savenay
Savenay is a small town in western France known for its historical role in the War in the Vendée and its location between Nantes and Saint-Nazaire.
-
D.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
E.
Lyonnet
Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
- 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: Lullin Triple: [Haut-Chablais, hasMember, Lullin]
Generated description
Lullin is a small commune in the Haute-Savoie department of southeastern France, situated in the mountainous Haut-Chablais region of the French Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lullin Target entity description: Lullin is a small commune in the Haute-Savoie department of southeastern France, situated in the mountainous Haut-Chablais region of the French Alps.
-
A.
Labine
Labine is a Canadian surname most notably associated with a family of actors, including Kyle Labine and his brothers.
-
B.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
C.
Savenay
Savenay is a small town in western France known for its historical role in the War in the Vendée and its location between Nantes and Saint-Nazaire.
-
D.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
E.
Lyonnet
Lyonnet is a French surname most notably associated with professional dancer Grégoire Lyonnet.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.