Triple
T20185094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian River |
E492832
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Melbourne, Florida |
—
|
NE NERFINISHED |
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: Melbourne, Florida | Statement: [Indian River, near, Melbourne, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melbourne, Florida Context triple: [Indian River, near, Melbourne, Florida]
-
A.
Melbourne, Florida
chosen
Melbourne, Florida is a coastal city in east-central Florida known for its beaches, aerospace and technology industries, and proximity to the Kennedy Space Center.
-
B.
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.
-
C.
Maitland, Florida
Maitland, Florida is a suburban city in the Greater Orlando area known for its lakes, historic district, and role as a residential and business community.
-
D.
Kissimmee, Florida
Kissimmee, Florida is a central Florida city in Osceola County known for its proximity to major Orlando-area theme parks and tourist attractions.
-
E.
Madison, Florida
Madison, Florida is a small historic city in northern Florida known for its rural charm and location along major east–west transportation routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f2c03c819096336462f59dba91 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.