Triple
T600664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liverpool Urban Area |
E11484
|
entity |
| Predicate | partlyLocatedIn |
P40
|
FINISHED |
| Object | Halton |
E46668
|
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: Halton | Statement: [Liverpool Urban Area, partlyLocatedIn, Halton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halton Context triple: [Liverpool Urban Area, partlyLocatedIn, Halton]
-
A.
Halton
chosen
Halton is a local government borough in Cheshire, England, encompassing the towns of Runcorn and Widnes along the River Mersey.
-
B.
Brampton
Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
-
C.
Vaughan
Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
-
D.
Richmond Hill, Ontario
Richmond Hill, Ontario is a suburban city in the Greater Toronto Area known for its diverse population, strong economy, and rapidly growing residential communities.
-
E.
Oakville, Ontario
Oakville, Ontario is a suburban town on Lake Ontario in the Greater Toronto Area, known for its affluent neighborhoods, harbors, and vibrant arts and cultural scene.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d7a2180819086c7e9465a2d7432 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a563c236108190a8784b6561ca8bca |
completed | March 2, 2026, 10:17 a.m. |
Created at: March 1, 2026, 7:35 p.m.