Triple
T4507320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middleburg, Virginia |
E101363
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Middleburgh |
E411780
|
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: Middleburgh | Statement: [Middleburg, Virginia, foundedAs, Middleburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middleburgh Context triple: [Middleburg, Virginia, foundedAs, Middleburgh]
-
A.
Middleburgh, New York
chosen
Middleburgh, New York is a small historic village in Schoharie County known for its rural character, scenic valley setting, and role as a local hub in New York’s Leatherstocking region.
-
B.
Wainscott
Wainscott is a small, affluent hamlet on the South Fork of Long Island, New York, known for its beaches, farmland, and upscale residential character.
-
C.
Town of Hempstead
The Town of Hempstead is a large suburban township on Long Island, New York, known for being one of the most populous municipalities in the United States.
-
D.
Rhinebeck
Rhinebeck is a historic village and town in New York’s Hudson Valley known for its charming downtown, cultural events, and scenic setting along the Hudson River.
-
E.
Hempstead
Hempstead is a residential suburb and local community within the town of Gillingham in Kent, England.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570e7bb8819097f7a575384a10a8 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6fa0e3948190b7667e3db2131c1f |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:01 p.m.