Triple
T5808434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sans Souci Beach |
E128805
|
entity |
| Predicate | shoreOrientation |
P45094
|
FINISHED |
| Object | south shore of Oahu |
—
|
LITERAL 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: south shore of Oahu | Statement: [Sans Souci Beach, shoreOrientation, south shore of Oahu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoreOrientation Context triple: [Sans Souci Beach, shoreOrientation, south shore of Oahu]
-
A.
coastOrientation
chosen
Indicates the directional alignment or facing direction of a coastline relative to the cardinal or geographic axes.
-
B.
shore
Indicates a relationship where one entity forms or lies along the edge or boundary of a body of water, such as a sea, lake, or river.
-
C.
shoreType
Indicates the kind or classification of a shoreline associated with a body of water or coastal area.
-
D.
oceanView
Indicates that one entity has a clear, visible view of the ocean from its location or position.
-
E.
cliffOrientation
Indicates the directional facing or alignment of a cliff relative to a reference frame (e.g., compass direction or slope aspect).
- F. None of above.
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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.