Triple
T11699529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponsonby family |
E278083
|
entity |
| Predicate | hasAncestralSurname |
P36967
|
FINISHED |
| Object | Ponsonby |
E922052
|
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: Ponsonby | Statement: [Ponsonby family, hasAncestralSurname, Ponsonby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponsonby Context triple: [Ponsonby family, hasAncestralSurname, Ponsonby]
-
A.
Ponsonby
chosen
Ponsonby is an English and Irish aristocratic surname historically associated with prominent political and social figures.
-
B.
Māngere
Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
-
C.
Mount Roskill
Mount Roskill is a suburban area and volcanic cone in Auckland, New Zealand, known for its diverse community and residential character.
-
D.
Pukekohe
Pukekohe is a town in the Auckland Region of New Zealand, known for its rich agricultural land and motor racing circuit.
-
E.
Mount Albert
Mount Albert is a small rural community in the town of East Gwillimbury, Ontario, known for its village character and surrounding farmland.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47df68c81908a91919a69b4880d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef833084988190b5004c93f68dc628 |
completed | April 27, 2026, 3:39 p.m. |
Created at: April 8, 2026, 9:40 p.m.