Triple
T21062313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manorhaven |
E518880
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Port Washington |
—
|
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: Port Washington | Statement: [Manorhaven, locatedNear, Port Washington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Washington Context triple: [Manorhaven, locatedNear, Port Washington]
-
A.
Port Washington
chosen
Port Washington is a waterfront hamlet on Long Island known for its marinas, suburban residential character, and proximity to New York City.
-
B.
Port Washington
Port Washington is a small lakeside city on the western shore of Lake Michigan in Wisconsin, known for its historic downtown and marina.
-
C.
Port Washington North
Port Washington North is a small incorporated village on the north shore of Long Island in Nassau County, New York.
-
D.
Port Chester, New York
Port Chester, New York is a diverse waterfront village in southeastern Westchester County known for its vibrant dining scene and proximity to the Connecticut border and Long Island Sound.
-
E.
Manhasset
Manhasset is an affluent suburban hamlet in Nassau County, New York, known for its upscale residential neighborhoods and high-end shopping districts.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb064a48190b892b78e27e8d0fa |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:38 p.m.