Triple
T2430278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val-Kill Cottage |
E52825
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Val-Kill |
E9470
|
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: Val-Kill | Statement: [Val-Kill Cottage, alsoKnownAs, Val-Kill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val-Kill Context triple: [Val-Kill Cottage, alsoKnownAs, Val-Kill]
-
A.
Val-Kill
chosen
Val-Kill is the Hyde Park, New York retreat that served as Eleanor Roosevelt’s personal home and later became a national historic site honoring her life and work.
-
B.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
C.
Tibur
Tibur is the ancient Roman town in Latium, now known as Tivoli, famed for its villas and temples east of Rome.
-
D.
Wantagh
Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
-
E.
Pastoria
Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99fcd048190a85b95a9a8ae6d4d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf68d6a481909acd43eb31660f0e |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.