Triple
T19040555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg TV Tower |
E465988
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hamburg-Mitte |
—
|
NE NERFINISHED |
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: Hamburg-Mitte | Statement: [Hamburg TV Tower, locatedIn, Hamburg-Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamburg-Mitte Context triple: [Hamburg TV Tower, locatedIn, Hamburg-Mitte]
-
A.
Hamburg-Mitte
chosen
Hamburg-Mitte is the central borough of Hamburg, Germany, encompassing the historic city center, major commercial areas, and key cultural and political institutions.
-
B.
Hamburg-Nord
Hamburg-Nord is a central borough of the German city-state of Hamburg, comprising several districts and neighborhoods including Fuhlsbüttel.
-
C.
Eimsbüttel
Eimsbüttel is a borough of Hamburg, Germany, known for its dense urban neighborhoods, green spaces, and well-connected public transport.
-
D.
Hamburg-Altona
Hamburg-Altona is a major district and transportation hub in western Hamburg, Germany, known for its busy long-distance and regional train station and vibrant urban neighborhoods.
-
E.
Hamburg-Eidelstedt
Hamburg-Eidelstedt is a residential and commercial quarter in the northwestern part of Hamburg, Germany, known for its local rail connections and suburban character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80054c88190a9d3a49aed504235 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:02 p.m.