Triple
T10684218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arverne |
E251832
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Edgemere |
E254760
|
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: Edgemere | Statement: [Arverne, adjacentTo, Edgemere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgemere Context triple: [Arverne, adjacentTo, Edgemere]
-
A.
Edgemere
chosen
Edgemere is a coastal neighborhood in the Rockaway Peninsula of Queens, New York City, known for its Atlantic shoreline and residential communities.
-
B.
Woodbrook
Woodbrook is a district in Port of Spain, Trinidad and Tobago, known for its mix of residential areas, commercial activity, and major sporting and entertainment venues.
-
C.
Haven Green
Haven Green is a well-known public green space and focal point near Ealing Broadway in the London Borough of Ealing.
-
D.
Portwood
Portwood is the middle name of Dimitri Portwood Kutcher, the son of actors Ashton Kutcher and Mila Kunis.
-
E.
Greenridge
Greenridge is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to other mid-island communities.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc5134c8190bcb1d96a32634c17 |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.