Triple
T16022929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calenberger Neustadt |
E388647
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Linden-Nord
Linden-Nord is a lively district of Hanover, Germany, known for its multicultural atmosphere, historic working-class roots, and vibrant cultural and nightlife scene.
|
E1189809
|
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: Linden-Nord | Statement: [Calenberger Neustadt, adjacentTo, Linden-Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden-Nord Context triple: [Calenberger Neustadt, adjacentTo, Linden-Nord]
-
A.
Linden
Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
-
B.
Linden
Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
-
C.
Linden
Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
-
D.
Linden
Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
-
E.
Linden
Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
- 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: Linden-Nord Triple: [Calenberger Neustadt, adjacentTo, Linden-Nord]
Generated description
Linden-Nord is a lively district of Hanover, Germany, known for its multicultural atmosphere, historic working-class roots, and vibrant cultural and nightlife scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linden-Nord Target entity description: Linden-Nord is a lively district of Hanover, Germany, known for its multicultural atmosphere, historic working-class roots, and vibrant cultural and nightlife scene.
-
A.
Linden
Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
-
B.
Linden
Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
-
C.
Linden
Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
-
D.
Linden
Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
-
E.
Linden
Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
- 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_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. |
| NEDg | Description generation | batch_69ffd065cb948190b0ad7e89a12ce535 |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1a52de08190a7b283af83be1f42 |
completed | May 10, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:55 a.m.