Triple
T22120667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velzyland |
E546656
|
entity |
| Predicate | coast |
P212
|
FINISHED |
| Object | North Shore |
—
|
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: North Shore | Statement: [Velzyland, coast, North Shore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Shore Context triple: [Velzyland, coast, North Shore]
-
A.
North Shore
North Shore is a coastal region in northeastern Massachusetts known for its historic seaside towns, beaches, and proximity to Boston.
-
B.
North Shore
chosen
North Shore is a famed coastal region on the Hawaiian island of Oahu known for its world-class surfing beaches and laid-back atmosphere.
-
C.
North Shore
North Shore is a small unincorporated community on the northeastern shore of the Salton Sea in Southern California’s Coachella Valley.
-
D.
North Shore
North Shore is a riverfront neighborhood in Pittsburgh, Pennsylvania, known for its sports stadiums, entertainment venues, and scenic views along the Allegheny and Ohio Rivers.
-
E.
North Shore
North Shore is a suburban and coastal urban area in northern Auckland, New Zealand, known for its beaches, residential communities, and proximity to the Auckland city centre.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12951fcd48190841319cd879c15cb |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.