Triple
T2445424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernex |
E53379
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Champs-Lambert
Champs-Lambert is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
|
E267123
|
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: Champs-Lambert | Statement: [Bernex, hasLocality, Champs-Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champs-Lambert Context triple: [Bernex, hasLocality, Champs-Lambert]
-
A.
Trottier
Trottier is a surname most prominently associated with Bryan Trottier, a Hall of Fame Canadian-American ice hockey player and multiple Stanley Cup champion.
-
B.
Virage Chatillon
Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
-
C.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
D.
Grand Veymont
Grand Veymont is a prominent mountain peak in the French Prealps, known for its panoramic views and popular hiking routes within the Vercors region.
-
E.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
- 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: Champs-Lambert Triple: [Bernex, hasLocality, Champs-Lambert]
Generated description
Champs-Lambert is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Champs-Lambert Target entity description: Champs-Lambert is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
A.
Trottier
Trottier is a surname most prominently associated with Bryan Trottier, a Hall of Fame Canadian-American ice hockey player and multiple Stanley Cup champion.
-
B.
Virage Chatillon
Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
-
C.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
D.
Grand Veymont
Grand Veymont is a prominent mountain peak in the French Prealps, known for its panoramic views and popular hiking routes within the Vercors region.
-
E.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef58eff2c81909cbf3346705940a3 |
completed | March 9, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef656ae0c81908753cc5a8b5fe704 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 6, 2026, 9:43 p.m.