Triple
T21513259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U4 |
E530779
|
entity |
| Predicate | connectsStation |
P845
|
FINISHED |
| Object | Nollendorfplatz |
—
|
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: Nollendorfplatz | Statement: [U4, connectsStation, Nollendorfplatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nollendorfplatz Context triple: [U4, connectsStation, Nollendorfplatz]
-
A.
Nollendorfplatz
chosen
Nollendorfplatz is a well-known square in Berlin’s Schöneberg district, noted for its vibrant LGBTQ+ scene, nightlife, and historic architecture.
-
B.
Lehniner Platz
Lehniner Platz is a public square in Berlin, Germany, known as a cultural hub and transport node in the Charlottenburg district.
-
C.
Hermannplatz
Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
-
D.
Charlottenplatz
Charlottenplatz is a major public square and traffic junction in central Stuttgart, Germany.
-
E.
Heidelberger Platz
Heidelberger Platz is a Berlin U-Bahn and S-Bahn interchange station in the Wilmersdorf district, known for its distinctive vaulted architecture and role as a transport hub on the city’s Ringbahn.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.