Triple
T18449731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendlincourt |
E450747
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Lugnez
Lugnez is a small municipality in the canton of Jura in northwestern Switzerland.
|
E1343687
|
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: Lugnez | Statement: [Vendlincourt, hasNeighboringMunicipality, Lugnez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lugnez Context triple: [Vendlincourt, hasNeighboringMunicipality, Lugnez]
-
A.
Reyssouze
Reyssouze is a river in eastern France that flows through the Ain department and the town of Bourg-en-Bresse.
-
B.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Vièze
Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
-
E.
Cauterets
Cauterets is a spa and ski resort town in the French Pyrenees known for its thermal baths, mountain scenery, and access to popular hiking areas.
- 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: Lugnez Triple: [Vendlincourt, hasNeighboringMunicipality, Lugnez]
Generated description
Lugnez 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: Lugnez Target entity description: Lugnez is a small municipality in the canton of Jura in northwestern Switzerland.
-
A.
Reyssouze
Reyssouze is a river in eastern France that flows through the Ain department and the town of Bourg-en-Bresse.
-
B.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Vièze
Vièze is a river in the canton of Valais in southwestern Switzerland that flows through the town of Monthey before joining the Rhône.
-
E.
Cauterets
Cauterets is a spa and ski resort town in the French Pyrenees known for its thermal baths, mountain scenery, and access to popular hiking areas.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264748dc8190984501af3e4b2036 |
completed | April 19, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055ba910448190a366b510ca9783d3 |
completed | May 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a055d0ae0bc81908490b1d8d02ba59d |
completed | May 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055dab68808190b06832dbcd7f0904 |
completed | May 14, 2026, 5:29 a.m. |
Created at: April 10, 2026, 11:30 a.m.