Triple
T4637514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kefalonia International Airport |
E101568
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | EFL |
E144987
|
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: EFL | Statement: [Kefalonia International Airport, IATAcode, EFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFL Context triple: [Kefalonia International Airport, IATAcode, EFL]
-
A.
EFL
chosen
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
-
B.
ELT
ELT is a next-generation ground-based optical and infrared telescope being built by the European Southern Observatory to become the world’s largest and most powerful visible-light telescope.
-
C.
ELC
ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
-
D.
English for Speakers of Other Languages
English for Speakers of Other Languages is an educational program designed to help non-native English speakers develop the language skills needed for academic success and everyday communication.
-
E.
MFL
MFL is a common abbreviation for "Modern Foreign Languages," typically referring to the study of contemporary non-native languages in educational settings.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a62a9e48190b0cf1cbcc51f00c0 |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfacba5fc8190bc86157ee5719ced |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:13 p.m.