Triple
T27395724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Shore of Kauaʻi |
E691678
|
entity |
| Predicate | relativeLocationOnKauai |
P199903
|
FINISHED |
| Object | southern coast |
—
|
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: southern coast | Statement: [South Shore of Kauaʻi, relativeLocationOnKauai, southern coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeLocationOnKauai Context triple: [South Shore of Kauaʻi, relativeLocationOnKauai, southern coast]
-
A.
distanceFromKaunakakaiMiles
Indicates the physical distance, measured in miles, between an entity and the location of Kaunakakai.
-
B.
relativeLocationToNaikū
Indicates the spatial relationship or position of something in relation to Naikū.
-
C.
relativeLocationToAnchorage
Indicates a spatial relationship specifying where something is located in relation to Anchorage as a reference point.
-
D.
distanceToKauaiKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the island of Kauai.
-
E.
locatedMakaiOf
Indicates that one entity is geographically situated to the makai (seaward or toward the ocean) side of another entity.
- F. None of above. chosen
Provenance (4 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
| PDg | Predicate description generation | batch_69ff63e5c35081908f69ac44e12b8f52 |
completed | May 9, 2026, 4:42 p.m. |
Created at: April 27, 2026, 12:27 p.m.