Triple
T4370324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ushuaia – Malvinas Argentinas International Airport |
E98879
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | SAWH |
E286274
|
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: SAWH | Statement: [Ushuaia – Malvinas Argentinas International Airport, ICAOcode, SAWH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAWH Context triple: [Ushuaia – Malvinas Argentinas International Airport, ICAOcode, SAWH]
-
A.
SAWH
chosen
SAWH is the ICAO airport code for Ushuaia – Malvinas Argentinas International Airport, the world’s southernmost international airport located in Ushuaia, Argentina.
-
B.
SAW
SAW is the IATA airport code for Sabiha Gökçen International Airport, a major international airport serving Istanbul, Turkey.
-
C.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
D.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
E.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521cb7ec8190b7b79675871d97d8 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50838188190b5b698d4bd2b5784 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.