Triple
T6554668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenville, Florida |
E152414
|
entity |
| Predicate | hasRayCharlesStatueOrMemorial |
P1646
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Greenville, Florida, hasRayCharlesStatueOrMemorial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRayCharlesStatueOrMemorial Context triple: [Greenville, Florida, hasRayCharlesStatueOrMemorial, true]
-
A.
hasCommemorativePlaques
Indicates that one entity possesses or displays commemorative plaques associated with it.
-
B.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
hasStatue
chosen
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
D.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
E.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:51 p.m.