Triple
T17494647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Nicholson |
E426024
|
entity |
| Predicate | connectedByFerryTo |
P1831
|
FINISHED |
| Object | Picton |
—
|
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: Picton | Statement: [Port Nicholson, connectedByFerryTo, Picton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picton Context triple: [Port Nicholson, connectedByFerryTo, Picton]
-
A.
Picton
chosen
Picton is a small coastal town in New Zealand’s South Island that serves as a major ferry terminal and gateway between the islands.
-
B.
Picton
Picton is a small town in Prince Edward County, Ontario, known as a local hub for visitors exploring nearby parks, wineries, and Lake Ontario beaches.
-
C.
Picton
Picton is a historic town in New South Wales, Australia, known for its colonial-era architecture and location southwest of Sydney.
-
D.
La Punta
La Punta is a planned city in central Argentina known for its rapid development and modern infrastructure within San Luis Province.
-
E.
La Punta
La Punta is a small coastal district of the Constitutional Province of Callao in Peru, known for its beaches, historic architecture, and naval and port-related activities.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d782688190afb76fa080867315 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.