Triple
T16532845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSMD |
E401610
|
entity |
| Predicate | designates |
P974
|
FINISHED |
| Object | Dübendorf Air Base |
E92232
|
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: Dübendorf Air Base | Statement: [LSMD, designates, Dübendorf Air Base]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dübendorf Air Base Context triple: [LSMD, designates, Dübendorf Air Base]
-
A.
Dübendorf Air Base
chosen
Dübendorf Air Base is a major Swiss military airfield near Zurich that historically served as the country’s primary air force base and aviation hub.
-
B.
Büchel Air Base
Büchel Air Base is a German military airfield in Rhineland-Palatinate that serves as a key Luftwaffe fighter-bomber base and hosts U.S. nuclear weapons under NATO nuclear sharing.
-
C.
Grenchen Airport
Grenchen Airport is a regional Swiss airfield near the town of Grenchen that primarily serves general aviation, flight training, and business aviation.
-
D.
Bern-Belp Airport
Bern-Belp Airport is a small regional airport serving the city of Bern, Switzerland, primarily handling domestic and short-haul European flights.
-
E.
Dübendorf
Dübendorf is a municipality in the canton of Zurich, Switzerland, known for its proximity to Zurich and its historic military and aviation facilities.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006093244081909ae74674de966d6d |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.