Triple
T10177191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington family |
E235883
|
entity |
| Predicate | associatedWithEstate |
P2830
|
FINISHED |
| Object | Belvoir |
E311446
|
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: Belvoir | Statement: [Washington family, associatedWithEstate, Belvoir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvoir Context triple: [Washington family, associatedWithEstate, Belvoir]
-
A.
Belvoir
chosen
Belvoir is a village in Leicestershire, England, known for its proximity to the historic Belvoir Castle.
-
B.
Glenwillow
Glenwillow is a small village in northeastern Ohio that forms part of the Greater Cleveland metropolitan area.
-
C.
Fort Andrews
Fort Andrews is a former U.S. Army coastal defense fortification located on Peddocks Island in Boston Harbor, Massachusetts, now part of a historic and recreational area.
-
D.
Sarratt
Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
-
E.
Palisade
Palisade is a small town in western Colorado known for its peach orchards, wineries, and scenic location along the Colorado River near Grand Junction.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd4e3188190aa5d9ee95595f4a7 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3012d11488190a410d389034da887 |
completed | April 6, 2026, 12:41 a.m. |
Created at: March 30, 2026, 9:11 p.m.