Triple
T20262994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalos |
E498889
|
entity |
| Predicate | hasCoastalArea |
P212
|
FINISHED |
| Object | Coastal Kalos |
—
|
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: Coastal Kalos | Statement: [Kalos, hasCoastalArea, Coastal Kalos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coastal Kalos Context triple: [Kalos, hasCoastalArea, Coastal Kalos]
-
A.
Amber Coast
Amber Coast is a historic Baltic Sea shoreline region famed for its abundant amber deposits and long-standing role in amber trade.
-
B.
Arcadins Coast
Arcadins Coast is a popular coastal tourist area in Haiti known for its beaches, resorts, and seaside attractions.
-
C.
Pacific Shores
Pacific Shores is a marine-themed exhibit at the Oregon Zoo featuring coastal wildlife and habitats from the Pacific Ocean.
-
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.
Kalos
chosen
Kalos is a fictional region in the Pokémon series, inspired by France and featured primarily in the Pokémon X and Y games.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.