Triple
T3220435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copenhagen Metro |
E67498
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
M2
M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
|
E338238
|
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: M2 | Statement: [Copenhagen Metro, hasLine, M2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M2 Context triple: [Copenhagen Metro, hasLine, M2]
-
A.
M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
-
B.
M2
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
-
C.
M2
M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
-
D.
M2
M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
-
E.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
- 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: M2 Triple: [Copenhagen Metro, hasLine, M2]
Generated description
M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M2 Target entity description: M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
-
A.
M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
-
B.
M2
M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
-
C.
M2
M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
-
D.
M2
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
-
E.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae16f20081909d7f3bac016f961d |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2624a770881908f0a9415b6f74ee0 |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b2662274988190ae62791744df0562 |
completed | March 12, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b266bf6bf48190a4480bf9a699dae8 |
completed | March 12, 2026, 7:09 a.m. |
Created at: March 8, 2026, 3:08 p.m.