Triple
T1834155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canarsie |
E41026
|
entity |
| Predicate | adjacentTo |
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: [Canarsie, adjacentTo, Flatlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flatlands Context triple: [Canarsie, adjacentTo, 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.
Palmland
Palmland was a named passenger train operated by the Seaboard Air Line Railroad that provided long-distance service in the southeastern United States.
-
C.
The Forest City
The Forest City is a nickname for Cleveland, Ohio, reflecting its historic abundance of trees and emphasis on green, park-filled urban planning.
-
D.
Meadowlands
Meadowlands is a residential township area within Soweto, South Africa, historically associated with forced removals under apartheid and a strong tradition of political resistance.
-
E.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb02540dc819081b19a09562139cd |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf711c148190ba12d9bc81892095 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:33 p.m.