Triple
T14686573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbelltown railway station |
E344921
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Macarthur |
E1077199
|
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: Macarthur | Statement: [Campbelltown railway station, connectsTo, Macarthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macarthur Context triple: [Campbelltown railway station, connectsTo, Macarthur]
-
A.
Macarthur
Macarthur is a residential suburb in Canberra, Australian Capital Territory, known for its family-friendly environment and proximity to nature reserves.
-
B.
Macarthur
chosen
Macarthur is an Australian federal electoral division in New South Wales that includes the Campbelltown area in Sydney’s south-west.
-
C.
McArthur
McArthur is a surname most notably associated with American oceanographer and NASA astronaut Megan McArthur.
-
D.
MacArthur
MacArthur is a Scottish-origin surname notably borne by several prominent American military figures and public personalities.
-
E.
MacArthur
MacArthur is a small unincorporated community located in Raleigh County, West Virginia, United States.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf080b7508190ac99b8bb6cfb1881 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.