Triple
T2634382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelcard |
E59709
|
entity |
| Predicate | usedOn |
P2367
|
FINISHED |
| Object | London Buses |
E128280
|
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: London Buses | Statement: [Travelcard, usedOn, London Buses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Buses Context triple: [Travelcard, usedOn, London Buses]
-
A.
London Buses
chosen
London Buses is the extensive red bus network that provides the primary public bus transport service throughout Greater London.
-
B.
London Blackfriars (via lines)
London Blackfriars (via lines) refers to the rail and Underground connections serving London Blackfriars station, a central London transport hub on the Thames.
-
C.
Tramlink
Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
-
D.
Transport for London
Transport for London is the local government body responsible for managing and overseeing the public transport network and major roads in Greater London.
-
E.
London Underground
The London Underground is a rapid transit system serving Greater London and surrounding areas, famous as one of the world's oldest and most extensive metro networks.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90ac94d48190b3138abac9934ec8 |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.