Triple
T19592562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café am Neuen See |
E470271
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Berlin Zoo |
—
|
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: Berlin Zoo | Statement: [Café am Neuen See, hasNearbyAttraction, Berlin Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Zoo Context triple: [Café am Neuen See, hasNearbyAttraction, Berlin Zoo]
-
A.
Berlin Zoological Garden
chosen
The Berlin Zoological Garden is Germany’s oldest and most visited zoo, renowned for its extensive collection of species and historic location in central Berlin.
-
B.
Nuremberg Zoo
Nuremberg Zoo is a major zoological garden in Nuremberg, Germany, known for its spacious, naturalistic enclosures and diverse collection of animal species.
-
C.
Frankfurt Zoo
Frankfurt Zoo is one of Germany’s oldest and most renowned zoological gardens, located in Frankfurt am Main and known for its diverse animal collection and conservation work.
-
D.
Hanover Zoo
Hanover Zoo is a major zoological garden in Hanover, Germany, known for its themed animal habitats and immersive visitor experiences.
-
E.
Zurich Zoo
Zurich Zoo is a major zoological garden in Zurich, Switzerland, known for its diverse animal exhibits and conservation-focused, naturalistic habitats.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64057460c8190962e2e58f06b3985 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.