Triple
T3093511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam tram network |
E64537
|
entity |
| Predicate | hasRollingStock |
P1305
|
FINISHED |
| Object |
15G tram
The 15G tram is a modern low-floor tram model used in Amsterdam’s public transport system.
|
E326451
|
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: 15G tram | Statement: [Amsterdam tram network, hasRollingStock, 15G tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 15G tram Context triple: [Amsterdam tram network, hasRollingStock, 15G tram]
-
A.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
-
B.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
C.
SL95 tram
The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
-
D.
Tram 17
Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
-
E.
Tram 14
Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
- 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: 15G tram Triple: [Amsterdam tram network, hasRollingStock, 15G tram]
Generated description
The 15G tram is a modern low-floor tram model used in Amsterdam’s public transport system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 15G tram Target entity description: The 15G tram is a modern low-floor tram model used in Amsterdam’s public transport system.
-
A.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
-
B.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
C.
SL95 tram
The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
-
D.
Tram 17
Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
-
E.
Tram 14
Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203697abc8190b93e8c85ada5bdfc |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2043430548190a538c183aef44b44 |
completed | March 12, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b204c812f081908fe5733305123c0e |
completed | March 12, 2026, 12:11 a.m. |
Created at: March 8, 2026, 3:03 p.m.