Triple
T21702539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Shore |
E535693
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Glenfield |
—
|
NE NERFINISHED |
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: Glenfield | Statement: [North Shore, hasNeighbourhood, Glenfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenfield Context triple: [North Shore, hasNeighbourhood, Glenfield]
-
A.
Glenfield
chosen
Glenfield is a residential suburb on Auckland's North Shore in New Zealand, known for its shopping mall and family-oriented community.
-
B.
Glenfield
Glenfield is a village and civil parish in Leicestershire, England, situated just northwest of Leicester.
-
C.
Glenfield
Glenfield is a residential suburb in Sydney, New South Wales, known for its transport links and proximity to Campbelltown and other south-western Sydney suburbs.
-
D.
Blanefield
Blanefield is a small village in central Scotland, situated near the Campsie Fells and known for its scenic rural setting within the Stirling area.
-
E.
Wynnefield
Wynnefield is a residential neighborhood in West Philadelphia known for its tree-lined streets, diverse community, and proximity to Saint Joseph’s University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b8161348190842c433531cfaa5b |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:45 p.m.