Triple
T22631423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Núñez International Airport |
E558563
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | SKCG |
—
|
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: SKCG | Statement: [Rafael Núñez International Airport, ICAOcode, SKCG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKCG Context triple: [Rafael Núñez International Airport, ICAOcode, SKCG]
-
A.
SKCG
chosen
SKCG is the ICAO airport code assigned to Rafael Núñez International Airport in Cartagena, Colombia.
-
B.
SCG
SCG is the stock ticker symbol for Scentre Group, an Australian real estate investment trust that owns and operates Westfield-branded shopping centres across Australia and New Zealand.
-
C.
KCG
KCG is the station code for Kacheguda railway station, a major railway hub in Hyderabad, India.
-
D.
SCGZ
SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
-
E.
KCGS
KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17009ecb0819082f94505b0e2c5b8 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:02 p.m.