Triple
T10982220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeast |
E259535
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Brewster North |
E48372
|
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: Brewster North | Statement: [Southeast, formerName, Brewster North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brewster North Context triple: [Southeast, formerName, Brewster North]
-
A.
Northwood
Northwood is a master-planned residential village in Irvine, California, known for its suburban neighborhoods, parks, and family-oriented community design.
-
B.
Northwood
Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
-
C.
Northwood
Northwood is a village on the Isle of Wight in England, situated just inland from the port town of Cowes.
-
D.
Northwood
Northwood is a small rural city located in Grand Forks County in northeastern North Dakota, United States.
-
E.
Brewster
chosen
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772eb518c8190a885a417815f2ff6 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344c77d6c8190a9b5e2cc967fb031 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:24 p.m.