Triple
T3215184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GWW |
E67376
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Gatow Airfield |
E12395
|
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: Gatow Airfield | Statement: [GWW, identifies, Gatow Airfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatow Airfield Context triple: [GWW, identifies, Gatow Airfield]
-
A.
Gatow Airfield
chosen
Gatow Airfield is a former military airbase in Berlin best known for its crucial role as a hub for Allied transport aircraft during the Berlin Airlift.
-
B.
Malbork Air Base
Malbork Air Base is a Polish military airfield that serves as a key NATO outpost for air defense missions over the Baltic region.
-
C.
Fürstenfeldbruck Air Base
Fürstenfeldbruck Air Base is a German military airfield near Munich, historically known as the site of the failed rescue attempt during the 1972 Munich Olympics massacre.
-
D.
Tempelhof Airport
Tempelhof Airport is a historic Berlin airfield best known as a central hub of the Berlin Airlift during the Cold War.
-
E.
Dresden Airport
Dresden Airport is an international airport serving the city of Dresden in eastern Germany, offering passenger and cargo flights and connecting the region to major European destinations.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab085a408190af9fb40acca31a5f |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2623c90cc819085a94adfe3eb3f3f |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:07 p.m.