Triple
T28184125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BC |
E716120
|
entity |
| Predicate | airlineSafetyRegulatorCountry |
P77412
|
FINISHED |
| Object | Japan |
—
|
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: Japan | Statement: [BC, airlineSafetyRegulatorCountry, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineSafetyRegulatorCountry Context triple: [BC, airlineSafetyRegulatorCountry, Japan]
-
A.
airlineRegulatoryAuthority
Indicates that one entity serves as the official regulatory authority overseeing and governing the operations of an airline or airlines.
-
B.
airOperatorCertificateJurisdiction
Indicates the legal jurisdiction under which an air operator’s certificate is issued or recognized.
-
C.
aviationAuthority
chosen
Indicates that one entity serves as the official aviation regulatory or oversight body responsible for governing, certifying, or supervising the other entity’s aviation-related activities.
-
D.
linkedAirlineCountry
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
-
E.
airlineSafetyReputation
Indicates the perceived level of safety and reliability associated with an airline’s operations and history.
- 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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 10:21 p.m.