Triple
T19746007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Cymru |
E474251
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | First Bus |
E256308
|
NE FINISHED |
How this triple was built (2 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: First Bus | Statement: [First Cymru, partOf, First Bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: First Bus Context triple: [First Cymru, partOf, First Bus]
-
A.
First Bus
chosen
First Bus is a major UK bus operator providing local and regional public transport services in numerous towns and cities.
-
B.
National Bus Company
The National Bus Company was a large state-owned operator that oversaw most local and regional bus services in England and Wales from the late 1960s until its privatization in the 1980s.
-
C.
Dan Bus Company
Dan Bus Company is a major Israeli public transportation operator, best known for running extensive bus services in the Tel Aviv metropolitan area.
-
D.
Golden Arrow Bus Services
Golden Arrow Bus Services is a major public bus operator in Cape Town, South Africa, providing commuter transport across the city and its surrounding suburbs.
-
E.
Carris bus lines
Carris bus lines are the public bus services operating in Lisbon, Portugal, connecting neighborhoods such as Graça with the rest of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 10, 2026, 1:47 p.m.