Triple
T19064758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Pupuke |
E466624
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Takapuna |
—
|
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: Takapuna | Statement: [Lake Pupuke, locatedIn, Takapuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takapuna Context triple: [Lake Pupuke, locatedIn, Takapuna]
-
A.
Takapuna
chosen
Takapuna is a coastal suburb on Auckland’s North Shore in New Zealand, known for its popular beach, shopping precinct, and recreational amenities.
-
B.
Māngere
Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
-
C.
Pukekohe
Pukekohe is a town in the Auckland Region of New Zealand, known for its rich agricultural land and motor racing circuit.
-
D.
Remuera
Remuera is an affluent residential suburb in Auckland, New Zealand, known for its leafy streets, historic homes, and proximity to the city centre.
-
E.
Mount Roskill
Mount Roskill is a suburban area and volcanic cone in Auckland, New Zealand, known for its diverse community and residential character.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19799d8819099d0b848771ae425 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.