Triple
T5880016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichenhainer Straße campus |
E130721
|
entity |
| Predicate | isNamedAfter |
P63
|
FINISHED |
| Object | Reichenhainer Straße |
E563361
|
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: Reichenhainer Straße | Statement: [Reichenhainer Straße campus, isNamedAfter, Reichenhainer Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reichenhainer Straße Context triple: [Reichenhainer Straße campus, isNamedAfter, Reichenhainer Straße]
-
A.
Reichenhainer Straße
chosen
Reichenhainer Straße is a major street in Chemnitz, Germany, known for serving as a primary access route to the local university campus and surrounding facilities.
-
B.
Niederkirchnerstraße
Niederkirchnerstraße is a street in central Berlin, Germany, historically associated with Nazi-era government and security offices and now home to memorial sites such as the Topography of Terror.
-
C.
Reinickendorfer Straße
Reinickendorfer Straße is a Berlin U-Bahn station on line U6 located in the central district of Mitte.
-
D.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
E.
Yorckstraße
Yorckstraße is a major street and transport corridor in Berlin’s Kreuzberg and Schöneberg districts, known for its multiple S-Bahn stations and proximity to several historic cemeteries and railway viaducts.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03633f0d88190b0ecf595cb28b783 |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cbc676c8190bdac874391a608e8 |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 3:57 p.m.