Triple
T37966667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition 3 crew |
E947161
|
entity |
| Predicate | flightEngineerNationality |
P189816
|
FINISHED |
| Object | Russian |
—
|
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: Russian | Statement: [Expedition 3 crew, flightEngineerNationality, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightEngineerNationality Context triple: [Expedition 3 crew, flightEngineerNationality, Russian]
-
A.
pilotNationality
Indicates that a pilot has a specific national affiliation or citizenship.
-
B.
flightEngineer
Indicates that one entity serves as a flight engineer for another entity (such as a mission, aircraft, or crew).
-
C.
astronautNationality
Indicates the relationship between an astronaut and the country with which they hold citizenship or official national affiliation.
-
D.
airlineNationalityOfAirline
Indicates the country or nationality with which an airline is associated.
-
E.
commanderNationality
Indicates the national affiliation or citizenship of a given commander.
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:20 p.m.