Triple
T8807564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeroparque Jorge Newbery |
E209571
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | AEP |
E209570
|
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: AEP | Statement: [Aeroparque Jorge Newbery, IATACode, AEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AEP Context triple: [Aeroparque Jorge Newbery, IATACode, AEP]
-
A.
AEP
chosen
AEP is the IATA airport code for Aeroparque Jorge Newbery, the main domestic and regional airport serving Buenos Aires, Argentina.
-
B.
AEP
AEP is a commonly used abbreviation for the Medicare Annual Enrollment Period, the yearly window when beneficiaries can change their Medicare coverage.
-
C.
APC
APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
-
D.
APC
APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
-
E.
AET
AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fd2fadc81908b27e9296885af2b |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa04f84408190ac00fd9ec089790f |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:45 p.m.