Triple
T9196120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genève-Eaux-Vives |
E220711
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object |
Eaux-Vives
Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
|
E784789
|
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: Eaux-Vives | Statement: [Genève-Eaux-Vives, locatedInDistrict, Eaux-Vives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eaux-Vives Context triple: [Genève-Eaux-Vives, locatedInDistrict, Eaux-Vives]
-
A.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
B.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
C.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Mehun-sur-Yèvre
Mehun-sur-Yèvre is a historic commune in central France known for its medieval heritage, including the remains of a royal castle and its association with King Charles VII.
- 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: Eaux-Vives Triple: [Genève-Eaux-Vives, locatedInDistrict, Eaux-Vives]
Generated description
Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eaux-Vives Target entity description: Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
-
A.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
-
B.
Cottévrard
Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
C.
Boucau
Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
-
D.
Pontgouin
Pontgouin is a small commune in northern France’s Eure-et-Loir department, known for its rural setting and the Eure River running through it.
-
E.
Mehun-sur-Yèvre
Mehun-sur-Yèvre is a historic commune in central France known for its medieval heritage, including the remains of a royal castle and its association with King Charles VII.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87d6460819097234b5dd3f749b4 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065d8f358819085dec73f25fd5746 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d066f0aa588190997de81afd8dc0b5 |
completed | April 4, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d067e17fac819095544182f3232bf5 |
completed | April 4, 2026, 1:22 a.m. |
Created at: March 30, 2026, 7:25 p.m.