Triple
T11193439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodside ferry terminal |
E264859
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Merseytravel |
E254280
|
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: Merseytravel | Statement: [Woodside ferry terminal, operator, Merseytravel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merseytravel Context triple: [Woodside ferry terminal, operator, Merseytravel]
-
A.
Merseytravel
chosen
Merseytravel is the public transport executive and strategic transport authority for the Liverpool City Region in England, overseeing local rail, bus, and ferry services and key infrastructure.
-
B.
Merseyrail
Merseyrail is a commuter rail network serving the Liverpool City Region and surrounding areas in Merseyside, England.
-
C.
Manchester Metrolink
Manchester Metrolink is a light rail/tram network serving Greater Manchester, England, connecting the city centre with surrounding suburbs and key regional destinations.
-
D.
Tramlink
Tramlink is a light rail tram system serving the Croydon area and surrounding districts in South London.
-
E.
Merseytravel smartcard
The Merseytravel smartcard is a contactless travel card used for seamless payment and ticketing across public transport services in the Merseyside region of England.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad00f9148190842bf587a2e4cbdf |
completed | April 19, 2026, 10:22 a.m. |
Created at: April 8, 2026, 9:29 p.m.