Triple
T12968126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Park, Brooklyn |
E321321
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Flatlands |
E191976
|
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: Flatlands | Statement: [Marine Park, Brooklyn, borderedBy, Flatlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flatlands Context triple: [Marine Park, Brooklyn, borderedBy, Flatlands]
-
A.
Flatlands
chosen
Flatlands is a residential neighborhood in southeastern Brooklyn, New York City, known for its low-rise housing, suburban feel, and diverse community.
-
B.
Rich Plain
Rich Plain is a residential neighborhood located within the Diego Martin region of Trinidad and Tobago.
-
C.
South Town
South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
-
D.
Meadowland
Meadowland is a 2015 independent drama film starring Olivia Wilde as a grieving mother coping with the mysterious disappearance of her young son.
-
E.
Rivertown
Rivertown is a historic-themed district in Kenner, Louisiana, featuring museums, cultural attractions, and riverfront entertainment.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e4e1a48190b8f7253717746295 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:32 p.m.