Triple
T9296725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Institute for Human & Machine Cognition |
E223656
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Ocala, Florida |
E611483
|
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: Ocala, Florida | Statement: [Florida Institute for Human & Machine Cognition, hasLocation, Ocala, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocala, Florida Context triple: [Florida Institute for Human & Machine Cognition, hasLocation, Ocala, Florida]
-
A.
Ocala
Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
B.
Ocala, Florida, United States
chosen
Ocala is a mid-sized city in north-central Florida known for its thoroughbred horse farms and historic downtown.
-
C.
Seminole, Florida
Seminole, Florida is a small suburban city in the Tampa Bay area known for its residential communities, parks, and proximity to Gulf Coast beaches.
-
D.
Ochopee, Florida
Ochopee, Florida is a tiny unincorporated community in the Florida Everglades best known for having one of the smallest post offices in the United States.
-
E.
Wellington, Florida
Wellington, Florida is an affluent village in Palm Beach County known as a major international equestrian center and winter polo capital of the world.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089c9c588190967404c9eb938dfb |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18205237c8190a6e7b4009b512d6d |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:36 p.m.