Triple
T1354110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Air Shuttle |
E28947
|
entity |
| Predicate | formerMarketSegment |
P5635
|
FINISHED |
| Object | long-haul flights |
—
|
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: long-haul flights | Statement: [Norwegian Air Shuttle, formerMarketSegment, long-haul flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMarketSegment Context triple: [Norwegian Air Shuttle, formerMarketSegment, long-haul flights]
-
A.
formerMarket
Indicates that an entity previously functioned as a market but no longer serves that role.
-
B.
formerBusinessModel
chosen
Indicates that an entity previously operated under a particular business model, but no longer does so.
-
C.
brandSegment
Indicates the specific market segment or customer group that a brand is targeted toward or associated with.
-
D.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
-
E.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26e916c8190b4b324df87f4c121 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.