Triple
T34265660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North London Collegiate School Jeju |
E879158
|
entity |
| Predicate | boardingOption |
P63715
|
FINISHED |
| Object | full boarding |
—
|
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: full boarding | Statement: [North London Collegiate School Jeju, boardingOption, full boarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardingOption Context triple: [North London Collegiate School Jeju, boardingOption, full boarding]
-
A.
boardingPlatform
Indicates the platform or area where a passenger boards a vehicle or form of transport.
-
B.
boardingFeature
Indicates that an entity provides or is associated with a specific facility, condition, or characteristic related to the process of boarding (e.g., getting on a vehicle, vessel, or structure).
-
C.
hasBoardingOption
chosen
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.
-
D.
bookingOption
Indicates a selectable arrangement or choice available for making a booking, such as a specific time, package, or set of conditions under which a reservation can be made.
-
E.
boarding
Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with another entity.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.