Triple
T6554667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenville, Florida |
E152414
|
entity |
| Predicate | hasRayCharlesChildhoodHome |
P27131
|
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, hasRayCharlesChildhoodHome, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRayCharlesChildhoodHome Context triple: [Greenville, Florida, hasRayCharlesChildhoodHome, true]
-
A.
designatedHoustonLandmark
Indicates that an entity has been officially recognized or designated as a landmark located in Houston.
-
B.
locatedInNationalHistoricalPark
Indicates that something is situated within the boundaries of a designated national historical park.
-
C.
designatedChicagoLandmark
Indicates that an entity has been officially recognized and designated as a Chicago landmark.
-
D.
hasParishHouse
Indicates that a church or parish entity possesses or is associated with a specific parish house building.
-
E.
placeOfUpbringing
chosen
Indicates the location where an individual was raised or spent most of their formative years.
- 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.