Triple
T3365319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Beach, Florida |
E70820
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Emerald Coast |
E174364
|
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: Emerald Coast | Statement: [Laguna Beach, Florida, region, Emerald Coast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emerald Coast Context triple: [Laguna Beach, Florida, region, Emerald Coast]
-
A.
Emerald Coast
chosen
Emerald Coast is a popular stretch of Florida’s Gulf Coast famed for its white-sand beaches and clear emerald-green waters.
-
B.
Coral Coast
Coral Coast is a popular stretch of Fiji’s southern coastline known for its beaches, coral reefs, and resort tourism.
-
C.
Dolphin Coast
Dolphin Coast is a major Georgia Aquarium exhibit featuring bottlenose dolphins in a large, interactive marine habitat with educational presentations and shows.
-
D.
Opal Coast
The Opal Coast is a scenic stretch of northern French shoreline along the English Channel, known for its dramatic cliffs, sandy beaches, and seaside resorts.
-
E.
North Coast
North Coast is a coastal region of New South Wales, Australia, known for its beaches, subtropical climate, and popular holiday destinations.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28643f48190b78b0222f8323344 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3254daf8c8190b2141682503c111e |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.