Triple
T19960999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EIC |
E479812
|
entity |
| Predicate | onboardClasses |
P48161
|
FINISHED |
| Object | 1st class |
—
|
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: 1st class | Statement: [EIC, onboardClasses, 1st class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onboardClasses Context triple: [EIC, onboardClasses, 1st class]
-
A.
onBoard
Indicates that one entity is physically located on or within a vehicle, vessel, or platform operated or used by another entity.
-
B.
classesOfSeats
chosen
Indicates the different categories or types of seats associated with something, such as a venue, vehicle, or event.
-
C.
onboardPlatform
Indicates that an entity is being added, integrated, or enrolled onto a particular platform so it can start operating or participating there.
-
D.
airlineClass
Indicates the specific travel class or service level assigned to a passenger or ticket on an airline flight.
-
E.
onboardNationalities
Indicates the set of nationalities present among the people on board a given vehicle, vessel, or craft.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af4520c81909986a47289ba801e |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.