Triple
T19746105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TrawsCymru |
E474254
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
T1
T1 is a TrawsCymru long-distance bus route in Wales providing inter-urban public transport services.
|
E1393205
|
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: T1 | Statement: [TrawsCymru, hasService, T1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T1 Context triple: [TrawsCymru, hasService, T1]
-
A.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
-
B.
T1
T1 is one of the main tram lines in Casablanca’s urban light rail network, providing mass transit service across key districts of the city.
-
C.
T1
T1 is one of the main lines of the Dijon tramway system in Dijon, France, providing urban light-rail transit across key parts of the city.
-
D.
T1
T1 is a professional esports organization best known for its championship-winning League of Legends team.
-
E.
T1
T1 is a tram line serving the Lyon metropolitan area in France, connecting key districts including Villeurbanne.
- 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: T1 Triple: [TrawsCymru, hasService, T1]
Generated description
T1 is a TrawsCymru long-distance bus route in Wales providing inter-urban public transport services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T1 Target entity description: T1 is a TrawsCymru long-distance bus route in Wales providing inter-urban public transport services.
-
A.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
-
B.
T1
T1 is a tram line serving the Lyon metropolitan area in France, connecting key districts including Villeurbanne.
-
C.
T1
T1 is one of the main lines of the Dijon tramway system in Dijon, France, providing urban light-rail transit across key parts of the city.
-
D.
T1
T1 is a major suburban rail service line in Sydney, Australia, forming part of the city's metropolitan train network.
-
E.
T1
T1 is one of the main tram lines in Casablanca’s urban light rail network, providing mass transit service across key districts of 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529387ac819094e4d66d630e8b98 |
completed | April 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b501e7348190bf2b14c98cd7cdb0 |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b60822688190b840b21173c45054 |
completed | May 16, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6c9fc8c8190825953f50935833e |
completed | May 16, 2026, 12:14 a.m. |
Created at: April 10, 2026, 1:47 p.m.