Triple
T14572461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lackawanna, New York |
E341950
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Town of Hamburg
The Town of Hamburg is a suburban municipality in Erie County, New York, located just south of Buffalo along the shores of Lake Erie.
|
E1105834
|
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: Town of Hamburg | Statement: [Lackawanna, New York, borderedBy, Town of Hamburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town of Hamburg Context triple: [Lackawanna, New York, borderedBy, Town of Hamburg]
-
A.
Eidelstedt
Eidelstedt is a district in the northwestern part of Hamburg, Germany, known for its residential areas and local shopping centers.
-
B.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
-
C.
Friedrichstadt
Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
-
D.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
E.
Wilhelmsburg
Wilhelmsburg is a large island district of Hamburg, Germany, known for its diverse population, industrial areas, and extensive green spaces along the Elbe River.
- 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: Town of Hamburg Triple: [Lackawanna, New York, borderedBy, Town of Hamburg]
Generated description
The Town of Hamburg is a suburban municipality in Erie County, New York, located just south of Buffalo along the shores of Lake Erie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Town of Hamburg Target entity description: The Town of Hamburg is a suburban municipality in Erie County, New York, located just south of Buffalo along the shores of Lake Erie.
-
A.
Eidelstedt
Eidelstedt is a district in the northwestern part of Hamburg, Germany, known for its residential areas and local shopping centers.
-
B.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
-
C.
Friedrichstadt
Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
-
D.
Waldstadt
Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
-
E.
Wilhelmsburg
Wilhelmsburg is a large island district of Hamburg, Germany, known for its diverse population, industrial areas, and extensive green spaces along the Elbe River.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f33b1c8190bb447788bfd28d51 |
completed | April 14, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aca591081908db149ec517a999b |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bd70488819083f40c38575f3071 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d506df4819092b52b0dde04bb4d |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 10, 2026, 1:24 a.m.