Triple
T8028502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJTT |
E186915
|
entity |
| Predicate | hubFor |
P423
|
FINISHED |
| Object | StarFlyer |
E186918
|
NE 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: StarFlyer | Statement: [RJTT, hubFor, StarFlyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: StarFlyer Context triple: [RJTT, hubFor, StarFlyer]
-
A.
StarFlyer
chosen
StarFlyer is a Japanese airline known for its stylish black-themed aircraft and service-focused operations on domestic routes.
-
B.
Fayaway
Fayaway is a central Polynesian woman character in Herman Melville’s novel "Typee," often remembered for her beauty, grace, and symbolic role in the story’s depiction of island life.
-
C.
Fauske
Fauske is a small Norwegian town and municipality known for its marble quarries and location in the inland part of Nordland county.
-
D.
Nordwind Airlines
Nordwind Airlines is a Russian leisure and charter airline that primarily operates holiday and tourist flights from major hubs such as Moscow.
-
E.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecdbc5881909246982b93978841 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e146048190a97b3b37d1eec0b8 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:21 p.m.