Triple
T13812376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AF-KL |
E331924
|
entity |
| Predicate | hasUnderlyingICAOAirlineCode |
P419
|
FINISHED |
| Object | AFR |
E94319
|
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: AFR | Statement: [AF-KL, hasUnderlyingICAOAirlineCode, AFR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFR Context triple: [AF-KL, hasUnderlyingICAOAirlineCode, AFR]
-
A.
AFR
chosen
AFR is the ICAO airline designator used to identify Air France flights in international aviation operations.
-
B.
AFR
AFR is the USAID Bureau for Africa, the division responsible for planning and managing U.S. development and humanitarian assistance programs across the African continent.
-
C.
AFB
AFB is the commonly used abbreviation for the Belgian Armed Forces, the military organization responsible for Belgium’s national defense and international military commitments.
-
D.
AFT
AFT is the standard time zone used throughout Afghanistan, offset by UTC+4:30.
-
E.
AFT
AFT is a major American labor union representing teachers and other education professionals across the 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8de34a4819090c99cb78b941003 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:12 p.m.