Triple
T23198205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidente Castro Pinto International Airport |
E579932
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | SBJP |
—
|
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: SBJP | Statement: [Presidente Castro Pinto International Airport, ICAOcode, SBJP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBJP Context triple: [Presidente Castro Pinto International Airport, ICAOcode, SBJP]
-
A.
SBJP
chosen
SBJP is the ICAO airport code for João Pessoa International Airport, a commercial airport serving the city of João Pessoa in northeastern Brazil.
-
B.
SBJ
SBJ is the abbreviation for the Statistics Bureau of Japan, the government agency responsible for producing and managing Japan’s official statistical data.
-
C.
BSJ
BSJ is the National Rail station code for Bedford St Johns railway station in Bedford, England.
-
D.
JBP
JBP is the station code for Jabalpur Junction, a major railway hub in the Indian state of Madhya Pradesh.
-
E.
SBRJ
SBRJ is the ICAO airport code for Santos Dumont Airport, a major domestic airport located near downtown Rio de Janeiro, Brazil.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907770b48190a3194ecce9b45f09 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:06 p.m.