Triple
T3164112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester |
E66169
|
entity |
| Predicate | hasCulturalInstitution |
P105
|
FINISHED |
| Object | HOME Manchester |
E911
|
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: HOME Manchester | Statement: [Manchester, hasCulturalInstitution, HOME Manchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOME Manchester Context triple: [Manchester, hasCulturalInstitution, HOME Manchester]
-
A.
HOME Manchester
chosen
HOME Manchester is a major arts centre in Manchester that combines contemporary theatre, cinema, and visual arts under one roof.
-
B.
Manchester city centre
Manchester city centre is the main commercial, retail, and cultural hub of Manchester, England, known for its shopping districts, nightlife, and historic architecture.
-
C.
Elland
Elland is a market town in West Yorkshire, England, situated between Halifax and Huddersfield in the Calderdale district.
-
D.
Manchester Met
Manchester Met is a large public university in Manchester, England, known for its vocationally oriented courses, strong links with industry, and diverse student population.
-
E.
Middlesbrough
Middlesbrough is a large industrial town and port in North Yorkshire, England, known historically for its steelmaking and chemical industries on the River Tees.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61ba98881909106951c8ceeb959 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235d823948190b1fbe0dbf303133d |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.