Triple
T39307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. James Episcopal Church, Hyde Park, New York |
E777
|
entity |
| Predicate | hasBurialGround |
P1496
|
FINISHED |
| Object | Roosevelt family members |
—
|
LITERAL 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: Roosevelt family members | Statement: [St. James Episcopal Church, Hyde Park, New York, hasBurialGround, Roosevelt family members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBurialGround Context triple: [St. James Episcopal Church, Hyde Park, New York, hasBurialGround, Roosevelt family members]
-
A.
hasCemetery
chosen
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
B.
burialPlace
Indicates the location where a person or entity is buried.
-
C.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
D.
hasHistoricSite
Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
-
E.
resurrectionPlace
Indicates the location where an entity is brought back to life or restored from death.
- F. None of above.
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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b4d5bd08190a3a48eb26e67768c |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ab6141881908701106aa97e4735 |
completed | Feb. 28, 2026, 1:53 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.