Triple
T7548582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen Basilio |
E178468
|
entity |
| Predicate | hometownHonor |
P77931
|
FINISHED |
| Object | statue in Canastota, New York |
—
|
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: statue in Canastota, New York | Statement: [Carmen Basilio, hometownHonor, statue in Canastota, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hometownHonor Context triple: [Carmen Basilio, hometownHonor, statue in Canastota, New York]
-
A.
honoredOn
Indicates that an entity is formally recognized, celebrated, or commemorated on a specific date or occasion.
-
B.
hasHometownOf
Indicates that one entity has, as its hometown, the place represented by the other entity.
-
C.
commemoratesCity
Indicates that something serves as a memorial or tribute specifically to a particular city.
-
D.
alsoHonoredAs
Indicates that an entity is additionally recognized or celebrated under another title, role, or form of honor beyond its primary designation.
-
E.
cultHonors
Indicates that a cult pays reverence, worship, or special honor to a particular figure, object, or concept.
- F. None of above. chosen
Provenance (4 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89b9afc8190b3e61a8e2cea7ad7 |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:49 p.m.