Triple
T9083678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nollendorfplatz U-Bahn station |
E217695
|
entity |
| Predicate | isTerminusOf |
P388
|
FINISHED |
| Object | U4 |
E530779
|
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: U4 | Statement: [Nollendorfplatz U-Bahn station, isTerminusOf, U4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U4 Context triple: [Nollendorfplatz U-Bahn station, isTerminusOf, U4]
-
A.
U4
U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
B.
U4
chosen
U4 is one of the shortest and oldest lines of the Berlin U-Bahn, running entirely within the central district of Schöneberg.
-
C.
U5
U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
-
D.
U5
U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
-
E.
U3
U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe30093481908b3ec394cf585642 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.