Triple
T1539914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wayne Airport |
E32840
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | SNA |
E176696
|
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: SNA | Statement: [John Wayne Airport, FAAcode, SNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNA Context triple: [John Wayne Airport, FAAcode, SNA]
-
A.
SNA
chosen
SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
-
B.
SAN
SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
-
C.
SN
SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
-
D.
SAM
SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
-
E.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9083c942481909168394b6674d82b |
completed | March 5, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad37092b648190a339114ffc37d1db |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 4, 2026, 7:26 p.m.