Triple
T5782130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Tempelhof Airport |
E128182
|
entity |
| Predicate | currentName |
P1213
|
FINISHED |
| Object | Tempelhofer Feld |
E62023
|
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: Tempelhofer Feld | Statement: [Berlin Tempelhof Airport, currentName, Tempelhofer Feld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tempelhofer Feld Context triple: [Berlin Tempelhof Airport, currentName, Tempelhofer Feld]
-
A.
Tempelhofer Feld
chosen
Tempelhofer Feld is a vast public park and former airport in Berlin, Germany, known for its open runways, recreational spaces, and historical significance, including its role in the Berlin Airlift.
-
B.
Tegeler Forst
Tegeler Forst is a large forested area in the Berlin district of Tegel, known for its natural landscapes, walking trails, and recreational opportunities.
-
C.
Mauerpark
Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
-
D.
Englischer Garten
Englischer Garten is a large public park in Munich, Germany, renowned for its expansive green spaces, beer gardens, and riverside surfing on the Eisbach.
-
E.
Tiergarten
Tiergarten is a large central park in Berlin known for its expansive green spaces, monuments, and cultural landmarks.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a17315881908aa12a830ba5f22b |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a17276648190b1fedfcc69d46b59 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:50 p.m.