Triple
T7806695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedarhurst station |
E180572
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Ocean Point |
E507354
|
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: Ocean Point | Statement: [Cedarhurst station, formerName, Ocean Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Point Context triple: [Cedarhurst station, formerName, Ocean Point]
-
A.
Ocean Point
chosen
Ocean Point was the original name of what is now known as Oceanside station, a rail stop in Oceanside, New York.
-
B.
Harbor Point
Harbor Point is a major waterfront redevelopment district in Stamford, Connecticut, featuring mixed-use residential, commercial, and recreational spaces along the city’s South End.
-
C.
Harbor Point
Harbor Point is a modern mixed-use development district on Baltimore’s waterfront known for its offices, residences, and public spaces built on a former industrial site.
-
D.
The Marina
The Marina is a lively waterfront area along Chicago’s Riverwalk known for its restaurants, bars, and scenic views of the Chicago River.
-
E.
Ocean Beach
Ocean Beach is a popular surf and swimming beach near Whangārei on New Zealand’s North Island, known for its scenic dunes and coastal walking tracks.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf639fba88190a7c117aab19c0b0f |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1450a2408190afe0459086d4480f |
completed | March 31, 2026, 12:24 a.m. |
Created at: March 30, 2026, 4:35 p.m.