Triple
T21282553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Orange |
E524562
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Fun Coast |
—
|
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: Fun Coast | Statement: [Port Orange, partOf, Fun Coast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fun Coast Context triple: [Port Orange, partOf, Fun Coast]
-
A.
Fun Coast
chosen
Fun Coast is a nickname for the coastal region of Florida centered around Daytona Beach, known for its beaches, motorsports, and tourism.
-
B.
COAST
COAST is a research center focused on advancing environmental science and sustainability through interdisciplinary studies and innovation.
-
C.
Coast
Coast is a British fashion brand known for its elegant occasionwear and contemporary womenswear.
-
D.
Coast
Coast is a BBC television documentary series that explores the natural, historical, and cultural features of the coastlines of the United Kingdom and beyond.
-
E.
Sea of Fun
Sea of Fun is a family-friendly children’s area at SeaWorld Orlando featuring kid-focused rides, water play zones, and themed attractions.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d249fc8190b0b310467ddeac3c |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.