Triple
T15046277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haydock |
E379232
|
entity |
| Predicate | parliamentaryConstituency |
P2710
|
FINISHED |
| Object | St Helens North |
E379231
|
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: St Helens North | Statement: [Haydock, parliamentaryConstituency, St Helens North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Helens North Context triple: [Haydock, parliamentaryConstituency, St Helens North]
-
A.
St Helens North
chosen
St Helens North is a UK parliamentary constituency in Merseyside that includes towns such as Newton-le-Willows and parts of the wider St Helens area.
-
B.
St Helens South
St Helens South is a UK parliamentary constituency in Merseyside, England, centered on the southern part of the town of St Helens.
-
C.
St Helens Central
St Helens Central is a railway station in St Helens, Merseyside, England, serving as a key stop on the Liverpool–Wigan line.
-
D.
St Helens
St Helens is a large industrial town in North West England historically known for its coal mining and glassmaking industries.
-
E.
St Helens
St Helens is a coastal town on the Isle of Wight in England, known for its village green, historic church ruins, and proximity to popular seaside areas.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.