Triple
T18918605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawaii Preparatory Academy |
E462786
|
entity |
| Predicate | offersBoardingFor |
P40724
|
FINISHED |
| Object | high school students |
—
|
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: high school students | Statement: [Hawaii Preparatory Academy, offersBoardingFor, high school students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersBoardingFor Context triple: [Hawaii Preparatory Academy, offersBoardingFor, high school students]
-
A.
hasBoardingOption
Indicates that an entity offers or is associated with a particular way or method by which passengers or items can board or be taken on.
-
B.
boardingOffered
chosen
Indicates that the provision of boarding or lodging services is being made available to one or more entities.
-
C.
boardingFor
Indicates that one entity serves as the designated boarding location or facility for another entity, such as passengers or animals.
-
D.
offersLimitedServiceOn
Indicates that one entity provides a restricted, partial, or reduced version of a service to another entity, rather than full or regular service.
-
E.
offersFootPassengerTravel
Indicates that an entity provides transportation services specifically for passengers traveling on foot, without vehicles.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c629527481909dad169f07df0da4 |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:59 a.m.