Triple
T14266434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadtmitte U6 platform |
E353655
|
entity |
| Predicate | hasAccessTo |
P1017
|
FINISHED |
| Object | Stadtmitte U2 platform |
E71196
|
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: Stadtmitte U2 platform | Statement: [Stadtmitte U6 platform, hasAccessTo, Stadtmitte U2 platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stadtmitte U2 platform Context triple: [Stadtmitte U6 platform, hasAccessTo, Stadtmitte U2 platform]
-
A.
Stadtmitte U6 platform
The Stadtmitte U6 platform is the underground station level in central Berlin serving line U6 of the Berlin U-Bahn.
-
B.
uCity Square
uCity Square is a major mixed-use innovation and research district in Philadelphia’s University City neighborhood, featuring offices, labs, academic space, housing, and retail.
-
C.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
-
D.
Stadtmitte
chosen
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
-
E.
Stadtmitte
Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326551b08190ae8fe220a6422339 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.