Triple
T36153032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waianae, Hawaii, United States |
E1045645
|
entity |
| Predicate | isLocatedOnSideOfOahu |
P44066
|
FINISHED |
| Object | western side 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: western side of Oahu | Statement: [Waianae, Hawaii, United States, isLocatedOnSideOfOahu, western side of Oahu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedOnSideOfOahu Context triple: [Waianae, Hawaii, United States, isLocatedOnSideOfOahu, western side of Oahu]
-
A.
isOnSideOfIsland
chosen
Indicates that one entity is located on a particular side or shore of an island relative to some reference or division.
-
B.
locatedOnSideOfAtoll
Indicates that one entity is situated along or on a particular side of an atoll.
-
C.
locatedOnSideOfKyushu
Indicates that one entity is situated on a particular side or region of Kyushu.
-
D.
observedOnMainIsland
Indicates that the observation or occurrence of something took place specifically on the main island, as opposed to surrounding or subsidiary islands.
-
E.
oneOfMainIslands
Indicates that the subject entity is one of the primary or principal islands within a specified group or region.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:08 p.m.