Triple
T22193379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palolo Valley |
E548487
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Wilhelmina Rise |
—
|
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: Wilhelmina Rise | Statement: [Palolo Valley, adjacentTo, Wilhelmina Rise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilhelmina Rise Context triple: [Palolo Valley, adjacentTo, Wilhelmina Rise]
-
A.
Wilhelmina Rise
chosen
Wilhelmina Rise is a steep residential neighborhood in Honolulu, Hawaii, known for its hillside homes and panoramic views over the city and ocean.
-
B.
Eilan
Eilan is a given name, likely a variant of Ilan, used as a personal name in various cultures.
-
C.
Haveneiland
Haveneiland is a residential artificial island in Amsterdam’s IJburg district, known for its modern urban planning and waterfront living.
-
D.
Shurcliff
Shurcliff is a surname most notably associated with Arthur A. Shurcliff, an American landscape architect known for his work on the restoration of Colonial Williamsburg.
-
E.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae552908190b38c3d765bcfb68a |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.