Triple
T34014190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Airlines |
E872194
|
entity |
| Predicate | offersInFlightService |
P39033
|
FINISHED |
| Object | meals |
—
|
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: meals | Statement: [Hong Kong Airlines, offersInFlightService, meals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersInFlightService Context triple: [Hong Kong Airlines, offersInFlightService, meals]
-
A.
inFlightService
chosen
Indicates that a service or activity is being provided to passengers during a flight.
-
B.
offersInFlightWiFi
Indicates that an entity provides wireless internet access to passengers during a flight.
-
C.
offersFlights
Indicates that one entity provides or makes available flight services or routes to another entity or destination.
-
D.
offersScheduledPassengerService
Indicates that an entity provides planned, regular passenger transportation services according to a published schedule.
-
E.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 1, 2026, 1:51 a.m.