Triple
T33486298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER 2N NG |
E857620
|
entity |
| Predicate | passengerLevel |
P180832
|
FINISHED |
| Object | upper deck |
—
|
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: upper deck | Statement: [TER 2N NG, passengerLevel, upper deck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerLevel Context triple: [TER 2N NG, passengerLevel, upper deck]
-
A.
seatClass
Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
-
B.
amenityLevelComparedToBusinessClass
Indicates how the level of amenities provided compares to those offered in business class.
-
C.
airlineClass
Indicates the specific travel class or service level assigned to a passenger or ticket on an airline flight.
-
D.
isPassengerWith
Indicates that one entity is traveling together with another entity as a passenger in the same vehicle or conveyance.
-
E.
passengersType
Indicates the type or category of passengers associated with or involved in a given entity or context.
- 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: May 1, 2026, 1:38 a.m.