Triple
T7236039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neukölln |
E155228
|
entity |
| Predicate | publicTransport |
P1288
|
FINISHED |
| Object | U8 |
E530781
|
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: U8 | Statement: [Neukölln, publicTransport, U8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U8 Context triple: [Neukölln, publicTransport, U8]
-
A.
U8
chosen
U8 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting districts such as Gesundbrunnen, Mitte, and Neukölln.
-
B.
U9
U9 is a Berlin U-Bahn subway line that serves the Wedding district among other areas in the city.
-
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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea33dd3481908ebb050e1fab5aaa |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc32d6c48190ae78b3d1227bb868 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.