Triple
T33238138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangere United AFC |
E850888
|
entity |
| Predicate | hasHomeSuburb |
P5065
|
FINISHED |
| Object | Māngere |
—
|
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: Māngere | Statement: [Mangere United AFC, hasHomeSuburb, Māngere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeSuburb Context triple: [Mangere United AFC, hasHomeSuburb, Māngere]
-
A.
hasMajorSuburb
Indicates that a larger urban area includes or is associated with a specific major suburb within its boundaries or sphere.
-
B.
isResidentialSuburbOf
chosen
Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
-
C.
hasSuburbAlong
Indicates that a larger area or route is associated with, or passes by, one or more suburbs located along its extent.
-
D.
hasNearbySuburb
Indicates that one location has another location as a suburb situated in close geographic proximity.
-
E.
hasSuburbanMunicipality
Indicates that one administrative region includes or is associated with a municipality located in a suburban area.
- F. None of above.
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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 1:31 a.m.