Triple
T1059551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit Airlines |
E22873
|
entity |
| Predicate | publiclyTraded |
P22173
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Spirit Airlines, publiclyTraded, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publiclyTraded Context triple: [Spirit Airlines, publiclyTraded, true]
-
A.
isPubliclyTraded
chosen
Indicates that a company’s shares are listed on a public stock exchange and can be bought and sold by the general investing public.
-
B.
includesPublicCompanies
Indicates that the referenced set, group, or collection contains one or more publicly traded companies as members.
-
C.
tradedOn
Indicates that an asset, security, or instrument is bought and sold on a particular exchange or trading venue.
-
D.
marketedBy
Indicates that one entity is promoted, advertised, or commercially presented to customers by another entity.
-
E.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4ba6e35ac8190802341c31bda0e3b |
completed | March 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69a4b7340a048190807363f19d17a58f |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.