Triple
T1177400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva tram network |
E25058
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Bachet depot
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
|
E134745
|
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: Bachet depot | Statement: [Geneva tram network, hasDepot, Bachet depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bachet depot Context triple: [Geneva tram network, hasDepot, Bachet depot]
-
A.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
B.
Blockhaus
Blockhaus is a notoriously steep and decisive mountain in Italy’s Apennines, frequently used as a summit finish that shapes the general classification in the Giro d’Italia.
-
C.
Salle de la Bouteille
Salle de la Bouteille was an early Parisian theater that served as one of the first venues for the Académie royale de musique, the institution that evolved into the Paris Opera.
-
D.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
E.
Grande Casse
Grande Casse is the highest peak in France’s Vanoise Massif, renowned among alpinists for its imposing limestone faces and classic mountaineering routes.
- 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: Bachet depot Triple: [Geneva tram network, hasDepot, Bachet depot]
Generated description
Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bachet depot Target entity description: Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
-
A.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
B.
Blockhaus
Blockhaus is a notoriously steep and decisive mountain in Italy’s Apennines, frequently used as a summit finish that shapes the general classification in the Giro d’Italia.
-
C.
Salle de la Bouteille
Salle de la Bouteille was an early Parisian theater that served as one of the first venues for the Académie royale de musique, the institution that evolved into the Paris Opera.
-
D.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
E.
Grande Casse
Grande Casse is the highest peak in France’s Vanoise Massif, renowned among alpinists for its imposing limestone faces and classic mountaineering routes.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd0ebbd08190a441d16a5b65a15e |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f1cab308190bdb5ae1e01d83b61 |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac6ff4c62881908cf88169e99d2983 |
completed | March 7, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac704cdaf08190b77b0b9345537d84 |
completed | March 7, 2026, 6:37 p.m. |
Created at: March 1, 2026, 7:45 p.m.