Triple
T9091632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire, New York |
E217899
|
entity |
| Predicate | stateCode |
P20781
|
FINISHED |
| Object | NY |
E550
|
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: NY | Statement: [Berkshire, New York, stateCode, NY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NY Context triple: [Berkshire, New York, stateCode, NY]
-
A.
New York
chosen
New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
-
B.
NYSA
NYSA is the commonly used abbreviation for the New York State Archives, the official repository for New York State government records and historical documents.
-
C.
N.D.N.Y.
N.D.N.Y. is the standard abbreviation for the United States District Court for the Northern District of New York, a federal trial court within the Second Circuit.
-
D.
Manhattan and New Jersey
Manhattan and New Jersey are neighboring areas on opposite sides of the Hudson River in the northeastern United States, encompassing part of New York City and the state of New Jersey.
-
E.
North Jersey
North Jersey is the northern region of New Jersey, encompassing major urban and suburban areas near New York City and serving as a key economic and transportation hub for the state.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965b73848190af309cd7d2f14066 |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054455e10819095738caf0d5795e2 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:14 p.m.