Triple
T2104111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings County |
E37153
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Downstate New York |
E74738
|
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: Downstate New York | Statement: [Kings County, partOf, Downstate New York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downstate New York Context triple: [Kings County, partOf, Downstate New York]
-
A.
Downstate New York
chosen
Downstate New York is the densely populated, urban and suburban region of southeastern New York State that includes New York City and its surrounding counties.
-
B.
Flatlands
Flatlands is a residential neighborhood in southeastern Brooklyn, New York City, known for its low-rise housing, suburban feel, and diverse community.
-
C.
New York (novel continuity)
New York (novel continuity) is the fictional U.S. state depicted in the Jaws novel universe, serving as the broader setting that includes locations like Amity Island.
-
D.
Ground Zero
Ground Zero is a survival horror video game level or scenario known for its intense atmosphere and challenging gameplay.
-
E.
Glass City
Glass City is a nickname for Toledo, Ohio, reflecting its historic prominence in the glass manufacturing industry.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabf7cdc81909636dff34badc1c5 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3069f78c819092a6d9d903e4df13 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.