Triple
T4982934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aucklander |
E111930
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Aucklanders |
E111930
|
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: Aucklanders | Statement: [Aucklander, hasPluralForm, Aucklanders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aucklanders Context triple: [Aucklander, hasPluralForm, Aucklanders]
-
A.
Aucklander
chosen
An Aucklander is a resident or native of Auckland, the largest city in New Zealand.
-
B.
Auckland
Auckland is a major New Zealand metropolis known for its harbors, multicultural population, and role as the country’s primary economic and transport hub.
-
C.
Christchurch
Christchurch is a historic coastal town in Dorset, England, known for its medieval priory, natural harbour, and proximity to the New Forest.
-
D.
Māngere
Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
-
E.
Pukekohe
Pukekohe is a town in the Auckland Region of New Zealand, known for its rich agricultural land and motor racing circuit.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725489bc81908f660332e25f29cf |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a13f5448190a49f914d1ba49a7a |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.