Triple
T11032864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverside Cemetery (Jewish) |
E260800
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Riverside Cemetery |
E810574
|
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: Riverside Cemetery | Statement: [Riverside Cemetery (Jewish), hasName, Riverside Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riverside Cemetery Context triple: [Riverside Cemetery (Jewish), hasName, Riverside Cemetery]
-
A.
Riverside Cemetery
chosen
Riverside Cemetery is a historic burial ground located in Rochester, New York, known for its landscaped grounds and notable local interments.
-
B.
Wildwood Cemetery
Wildwood Cemetery is a historic burial ground located in the suburban town of Winchester, Massachusetts.
-
C.
Wildwood Cemetery
Wildwood Cemetery is a burial ground and local historic cemetery located in Wilmington, Massachusetts.
-
D.
Holyhood Cemetery
Holyhood Cemetery is a historic burial ground located in Brookline, Massachusetts, known for its picturesque landscape and notable interments.
-
E.
Grandview Cemetery
Grandview Cemetery is a historic burial ground in Johnstown, Pennsylvania, known for memorializing many victims of the 1889 Johnstown Flood.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e650b48190967c53f54e3464ad |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9a6db688190a740b787448d97b2 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.