Triple
T22560086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 14/32 |
E557787
|
entity |
| Predicate | iataAirportCode |
P2569
|
FINISHED |
| Object | EFL |
—
|
NE NERFINISHED |
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: [Runway 14/32, iataAirportCode, EFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFL Context triple: [Runway 14/32, iataAirportCode, EFL]
-
A.
EFL
EFL is a professional football league system in England that organizes and oversees the three divisions below the Premier League.
-
B.
EFL
chosen
EFL is the IATA airport code for Kefalonia International Airport on the Greek island of Kefalonia.
-
C.
EFL
EFL (Enlightenment Foundation Libraries) is a collection of open-source graphics and user interface libraries designed for building fast, lightweight, and visually rich applications, particularly on resource-constrained devices.
-
D.
ESL
ESL is a major global esports company known for organizing and hosting professional video game tournaments and leagues worldwide.
-
E.
ESL
ESL is the National Rail station code assigned to Eastleigh railway station in Hampshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.