Triple
T5392184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit Airlines |
E120357
|
entity |
| Predicate | stockTicker |
P1447
|
FINISHED |
| Object | SAVE |
E120357
|
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: SAVE | Statement: [Spirit Airlines, stockTicker, SAVE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAVE Context triple: [Spirit Airlines, stockTicker, SAVE]
-
A.
SAVE
chosen
SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
-
B.
Save
The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
-
C.
Salva
Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
-
D.
SAV
SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
-
E.
S
S is the distinctive middle initial of U.S. President Harry S. Truman, famously not standing for any specific name but honoring both of his grandfathers.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8719ff04819089e3a90f90b5e3fc |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3366a0588190b1e5e48be86471fe |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.