Triple
T20137830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EETN |
E491070
|
entity |
| Predicate | airportName |
P4100
|
FINISHED |
| Object | Lennart Meri Tallinn Airport |
—
|
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: Lennart Meri Tallinn Airport | Statement: [EETN, airportName, Lennart Meri Tallinn Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennart Meri Tallinn Airport Context triple: [EETN, airportName, Lennart Meri Tallinn Airport]
-
A.
Lennart Meri Tallinn Airport
chosen
Lennart Meri Tallinn Airport is the main international airport serving Estonia’s capital, Tallinn, and the country’s largest air travel hub.
-
B.
Tartu Airport
Tartu Airport is a regional airport in Estonia serving the city of Tartu and the surrounding area with domestic and limited international flights.
-
C.
Kuressaare Airport
Kuressaare Airport is a regional airport on Saaremaa Island in Estonia that provides domestic and limited international air connections for the town of Kuressaare and its surroundings.
-
D.
Pärnu Airport
Pärnu Airport is a regional airport in southwestern Estonia that serves the city of Pärnu with domestic and limited international flights.
-
E.
Viedma Airport
Viedma Airport is a regional public airport serving the city of Viedma and surrounding areas in Argentina’s Río Negro Province.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.