Triple
T19746109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TrawsCymru |
E474254
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
T5
T5 is a TrawsCymru long-distance bus service route operating in Wales as part of the national TrawsCymru network.
|
E1393209
|
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: T5 | Statement: [TrawsCymru, hasService, T5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T5 Context triple: [TrawsCymru, hasService, T5]
-
A.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
B.
T5
T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
-
C.
T5
T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
-
D.
T5
T5 is a Transformer-based text-to-text language model developed by Google that treats every NLP task as converting input text to output text.
-
E.
T5
T5 is a designated trunk road route, identified by the abbreviation "T5," that serves as a major arterial highway within its regional road 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: T5 Triple: [TrawsCymru, hasService, T5]
Generated description
T5 is a TrawsCymru long-distance bus service route operating in Wales as part of the national TrawsCymru network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T5 Target entity description: T5 is a TrawsCymru long-distance bus service route operating in Wales as part of the national TrawsCymru network.
-
A.
T5
T5 is one of the lines of the Athens tram system, providing light-rail transit service along part of the city’s coastal and urban corridor.
-
B.
T5
T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
-
C.
T5
T5 is a designated trunk road route, identified by the abbreviation "T5," that serves as a major arterial highway within its regional road network.
-
D.
T5
T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
-
E.
T5
T5 is a Transformer-based text-to-text language model developed by Google that treats every NLP task as converting input text to output text.
- 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.