Triple
T15784346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mako |
E382697
|
entity |
| Predicate | locatedInState |
P40
|
FINISHED |
| Object | Florida |
E549
|
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: Florida | Statement: [Mako, locatedInState, Florida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florida Context triple: [Mako, locatedInState, Florida]
-
A.
Florida
chosen
Florida is a southeastern U.S. state known for its warm climate, extensive beaches, tourism industry centered on attractions like Walt Disney World, and significant cultural and economic influence.
-
B.
Florida
Florida is a small rural town located in the northern part of Berkshire County, Massachusetts, known for its mountainous terrain and proximity to the Mohawk Trail.
-
C.
Florida
Florida is a residential suburb of Roodepoort in Gauteng, South Africa, known for its lakes, schools, and commuter access to Johannesburg.
-
D.
Florida
Florida is a collection of rhetorical showpieces and excerpts from speeches by the Roman author Apuleius, showcasing his oratorical style and literary flair.
-
E.
Florida
Florida is a municipality and city in central Camagüey Province, Cuba, known for its agricultural activities, particularly sugarcane cultivation.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:48 a.m.