Triple
T24694800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikorsky S‑40 |
E611551
|
entity |
| Predicate | airlineLaunchCustomer |
P102192
|
FINISHED |
| Object | Pan American Airways |
—
|
NE NERFINISHED |
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: Pan American Airways | Statement: [Sikorsky S‑40, airlineLaunchCustomer, Pan American Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineLaunchCustomer Context triple: [Sikorsky S‑40, airlineLaunchCustomer, Pan American Airways]
-
A.
airlineCustomer
chosen
Indicates that one entity is a customer (passenger or client) of an airline entity, typically having purchased or used its air travel services.
-
B.
airlineContext
Indicates a relationship, situation, or action that specifically occurs within or is constrained by an airline-related context (such as flights, carriers, or air travel operations).
-
C.
primaryAirlinePartner
Indicates that one airline serves as the main or preferred partner airline for another entity, such as a traveler, company, or loyalty program.
-
D.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
E.
airlineBrand
Indicates that one entity functions as the commercial airline brand associated with, or operating under, 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:21 a.m.