Triple
T4859018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brookhaven |
E108608
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rocky Point
Rocky Point is a hamlet on the north shore of Long Island in Suffolk County, New York, known for its residential communities and coastal setting.
|
E476269
|
NE FINISHED |
How this triple was built (4 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: Rocky Point | Statement: [Brookhaven, contains, Rocky Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky Point Context triple: [Brookhaven, contains, Rocky Point]
-
A.
Rocky Point
Rocky Point is a coastal headland or shoreline area located along the coast of Saint Thomas Parish in Jamaica.
-
B.
Roches Point
Roches Point is a small lakeside community within the town of Georgina in Ontario, Canada, known for its location on the shores of Lake Simcoe.
-
C.
Quarry Point
Quarry Point is a coastal area on Angel Island in San Francisco Bay, known for its historic quarrying activity and scenic waterfront views.
-
D.
Brown’s Point
Brown’s Point is a coastal neighborhood and headland in Tacoma, Washington, known for its historic lighthouse and views over Commencement Bay and Puget Sound.
-
E.
Greenleaf Point
Greenleaf Point is a prominent geographic area in Washington, D.C., situated at the confluence of the Anacostia and Potomac Rivers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rocky Point Triple: [Brookhaven, contains, Rocky Point]
Generated description
Rocky Point is a hamlet on the north shore of Long Island in Suffolk County, New York, known for its residential communities and coastal setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocky Point Target entity description: Rocky Point is a hamlet on the north shore of Long Island in Suffolk County, New York, known for its residential communities and coastal setting.
-
A.
Rocky Point
Rocky Point is a coastal headland or shoreline area located along the coast of Saint Thomas Parish in Jamaica.
-
B.
Roches Point
Roches Point is a small lakeside community within the town of Georgina in Ontario, Canada, known for its location on the shores of Lake Simcoe.
-
C.
Quarry Point
Quarry Point is a coastal area on Angel Island in San Francisco Bay, known for its historic quarrying activity and scenic waterfront views.
-
D.
Brown’s Point
Brown’s Point is a coastal neighborhood and headland in Tacoma, Washington, known for its historic lighthouse and views over Commencement Bay and Puget Sound.
-
E.
Greenleaf Point
Greenleaf Point is a prominent geographic area in Washington, D.C., situated at the confluence of the Anacostia and Potomac Rivers.
- F. None of above. chosen
Provenance (5 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67dd3df4819092a59dfb85d10683 |
completed | March 21, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69be695f90e88190912cac612ea680f2 |
completed | March 21, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be69b578708190951ebc93ecbaee7d |
completed | March 21, 2026, 9:49 a.m. |
Created at: March 20, 2026, 1:26 p.m.