Triple
T18841625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lajoux |
E460810
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Saulcy
Saulcy is a small municipality in the canton of Jura in northwestern Switzerland.
|
E1364430
|
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: Saulcy | Statement: [Lajoux, neighboringMunicipality, Saulcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saulcy Context triple: [Lajoux, neighboringMunicipality, Saulcy]
-
A.
Groslay
Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
-
B.
Saulieu
Saulieu is a small historic town in eastern France’s Burgundy region, known as a gateway to the Morvan hills and for its traditional gastronomy.
-
C.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
-
D.
Souvigny
Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
-
E.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
- 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: Saulcy Triple: [Lajoux, neighboringMunicipality, Saulcy]
Generated description
Saulcy is a small municipality in the canton of Jura in northwestern Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saulcy Target entity description: Saulcy is a small municipality in the canton of Jura in northwestern Switzerland.
-
A.
Groslay
Groslay is a small suburban commune in the Val-d'Oise department in northern France, forming part of the Paris metropolitan area.
-
B.
Saulieu
Saulieu is a small historic town in eastern France’s Burgundy region, known as a gateway to the Morvan hills and for its traditional gastronomy.
-
C.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
-
D.
Souvigny
Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
-
E.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8ea35c88190af6659551ad18130 |
completed | April 20, 2026, 5:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700c7cd348190b3b9b09fb7b07454 |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a0701a602c88190bc06dc616f3be6f1 |
completed | May 15, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07027372c88190b19ea77d9b610a56 |
completed | May 15, 2026, 11:24 a.m. |
Created at: April 10, 2026, 11:56 a.m.