Triple
T23303395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EINN |
E590366
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Shannon 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: Shannon Airport | Statement: [EINN, identifies, Shannon Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon Airport Context triple: [EINN, identifies, Shannon Airport]
-
A.
Shannon Airport
chosen
Shannon Airport is a major international airport in western Ireland known for its transatlantic services and historic role in pioneering global air travel.
-
B.
Wa Airport
Wa Airport is a regional public airport serving the city of Wa and its surrounding areas in the Upper West Region of Ghana.
-
C.
Newman Airport
Newman Airport is a regional airport in Western Australia that primarily serves the mining town of Newman and its surrounding Pilbara region.
-
D.
Mwanza Airport
Mwanza Airport is a regional airport in Mwanza, Tanzania, serving as a key hub for domestic flights and connections around Lake Victoria.
-
E.
Churchill Airport
Churchill Airport is a regional airport in Churchill, Manitoba, Canada, serving as a key transportation hub for the remote northern community and access point for polar bear and Arctic tourism.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19724de488190ac8eb89253c8dd53 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:04 p.m.