Triple
T22248933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport Municipal Airport |
E549920
|
entity |
| Predicate | hasFAAIdentifier |
P420
|
FINISHED |
| Object | ONP |
—
|
NE NERFINISHED |
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: ONP | Statement: [Newport Municipal Airport, hasFAAIdentifier, ONP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONP Context triple: [Newport Municipal Airport, hasFAAIdentifier, ONP]
-
A.
ONP
chosen
ONP is the IATA airport code for Newport Municipal Airport in Newport, Oregon, United States.
-
B.
Reverse Polish Notation
Reverse Polish Notation is a mathematical expression format that places operators after their operands, eliminating the need for parentheses and simplifying stack-based computation.
-
C.
shunting-yard algorithm
The shunting-yard algorithm is a method for parsing mathematical expressions and converting infix notation to postfix (or prefix) form using a stack-based procedure.
-
D.
Polish notation
Polish notation is a mathematical and logical expression format that places operators before their operands, eliminating the need for parentheses to denote order of operations.
-
E.
RPN
RPN (Radio Philippines Network) is a Philippine television network known for airing various popular programs, including long-running variety shows.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bc69d48190b185d4b8f4089922 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:38 p.m.