Triple
T3241745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-train network |
E67978
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object |
Bx line
The Bx line is a route within the Copenhagen S-train commuter rail network serving the Greater Copenhagen area.
|
E339603
|
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: Bx line | Statement: [S-train network, line, Bx line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bx line Context triple: [S-train network, line, Bx line]
-
A.
Line B
Line B is one of the main tram routes in the Reims tramway network in Reims, France, providing urban public transport across key areas of the city.
-
B.
Line B
Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
-
C.
Line B
Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
-
D.
Mitre Line
The Mitre Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city center with several northern suburbs.
-
E.
Metro Line B
Metro Line B is a rapid transit line that forms part of the Mexico City Metro network.
- 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: Bx line Triple: [S-train network, line, Bx line]
Generated description
The Bx line is a route within the Copenhagen S-train commuter rail network serving the Greater Copenhagen area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bx line Target entity description: The Bx line is a route within the Copenhagen S-train commuter rail network serving the Greater Copenhagen area.
-
A.
Line B
Line B is one of the main tram routes in the Reims tramway network in Reims, France, providing urban public transport across key areas of the city.
-
B.
Line B
Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
-
C.
Line B
Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
-
D.
Mitre Line
The Mitre Line is a major commuter rail service in the Buenos Aires metropolitan area that links the city center with several northern suburbs.
-
E.
Metro Line B
Metro Line B is a rapid transit line that forms part of the Mexico City Metro network.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef76d908190815bb456e366ee0a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27757dff0819081a26aea52ede49d |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27846372c8190a5c96158bf2a5ff2 |
completed | March 12, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2791ac4a08190a1cee3cfbca6e6d6 |
completed | March 12, 2026, 8:28 a.m. |
Created at: March 8, 2026, 3:08 p.m.