Triple
T22736901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg |
E562294
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Hasselbrack
Hasselbrack is a low wooded hill in the Harburg Hills that constitutes the highest natural elevation within the German city-state of Hamburg.
|
E1552654
|
NE FINISHED |
How this triple was built (4 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: Hasselbrack | Statement: [Hamburg, highestPoint, Hasselbrack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasselbrack Context triple: [Hamburg, highestPoint, Hasselbrack]
-
A.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
B.
Helmbrechts
Helmbrechts is a small town in northern Bavaria, Germany, known for its textile industry and location in the Franconian Forest region.
-
C.
Plobsheim
Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
-
D.
Büttenhardt
Büttenhardt is a small rural municipality in the canton of Schaffhausen in northern Switzerland, near the German border.
-
E.
Hildebrand
Hildebrand is the birth name of Pope Gregory VII, the 11th-century reformist pope central to the Investiture Controversy and the Gregorian Reforms.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hasselbrack Triple: [Hamburg, highestPoint, Hasselbrack]
Generated description
Hasselbrack is a low wooded hill in the Harburg Hills that constitutes the highest natural elevation within the German city-state of Hamburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hasselbrack Target entity description: Hasselbrack is a low wooded hill in the Harburg Hills that constitutes the highest natural elevation within the German city-state of Hamburg.
-
A.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
B.
Helmbrechts
Helmbrechts is a small town in northern Bavaria, Germany, known for its textile industry and location in the Franconian Forest region.
-
C.
Plobsheim
Plobsheim is a commune in northeastern France situated near Strasbourg in the Grand Est region.
-
D.
Büttenhardt
Büttenhardt is a small rural municipality in the canton of Schaffhausen in northern Switzerland, near the German border.
-
E.
Hildebrand
Hildebrand is the birth name of Pope Gregory VII, the 11th-century reformist pope central to the Investiture Controversy and the Gregorian Reforms.
- F. None of above. chosen
Provenance (5 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179707fd081909aed9b2f62b9f842 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fce978c81908b83f84dc1357c91 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b937b20008190817512be3d48df39 |
completed | May 18, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b946320e0819097ef9c4638595dff |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:22 p.m.