Triple
T14036633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellinikon International Airport |
E337728
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | ATH |
E337725
|
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: ATH | Statement: [Ellinikon International Airport, IATAcode, ATH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATH Context triple: [Ellinikon International Airport, IATAcode, ATH]
-
A.
ATH
chosen
ATH is the IATA airport code for Athens International Airport Eleftherios Venizelos, the main international gateway serving Athens and the surrounding region of Greece.
-
B.
AT
AT is the commonly used abbreviation and public-facing brand name for Auckland Transport, the agency responsible for managing Auckland’s transport services and infrastructure.
-
C.
AT
AT is the chassis designation used by the Scuderia AlphaTauri Formula One team for its race cars.
-
D.
AT
AT was the former stock ticker symbol under which the U.S. wireless telecommunications company Alltel was publicly traded.
-
E.
MAT
MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65a21088190a14808d09b2b9f42 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.