Triple
T16022927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calenberger Neustadt |
E388647
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Hanover-Mitte |
E814019
|
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: Hanover-Mitte | Statement: [Calenberger Neustadt, adjacentTo, Hanover-Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanover-Mitte Context triple: [Calenberger Neustadt, adjacentTo, Hanover-Mitte]
-
A.
Hanover-Mitte
chosen
Hanover-Mitte is the central district of Hanover, Germany, encompassing the city’s historic core, main commercial areas, and key transport hubs.
-
B.
Herne-Mitte
Herne-Mitte is the central urban district of the city of Herne in North Rhine-Westphalia, Germany, encompassing its main commercial and administrative areas.
-
C.
Spandauer Vorstadt
Spandauer Vorstadt is a historic neighborhood in central Berlin, known for its preserved pre-war architecture, vibrant cultural scene, and significant Jewish heritage sites.
-
D.
Hamburg-Mitte
Hamburg-Mitte is the central borough of Hamburg, Germany, encompassing the historic city center, major commercial areas, and key cultural and political institutions.
-
E.
Bornheim Mitte
Bornheim Mitte is a central public transit station in Frankfurt’s Bornheim district, serving as a key stop on the city’s U-Bahn network.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18324bf308190b80bb445c7911198 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2f7c4c8190b1290ac28aad8cd0 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.