Triple
T19792391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onehunga Line |
E475445
|
entity |
| Predicate | electrifiedSection |
P14045
|
FINISHED |
| Object | Penrose–Onehunga |
—
|
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: Penrose–Onehunga | Statement: [Onehunga Line, electrifiedSection, Penrose–Onehunga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penrose–Onehunga Context triple: [Onehunga Line, electrifiedSection, Penrose–Onehunga]
-
A.
Penrose
Penrose is a neighborhood in Southwest Philadelphia known for its residential character and proximity to major city thoroughfares and the airport.
-
B.
Penrose
Penrose is an English surname borne by several notable figures in science, mathematics, and the arts.
-
C.
Penrose
Penrose is the middle name of Guy Gibson, the famed Royal Air Force Wing Commander who led the World War II Dambusters raid.
-
D.
Penrose
Penrose is a small town located in Fremont County, Colorado, known for its rural character and agricultural surroundings.
-
E.
Penrose
chosen
Penrose is a suburb and key industrial-commercial area in Auckland, New Zealand, located south of the city centre.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c37a3c819080f195d58adaaa7b |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.