Triple
T1024742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osnabrück |
E22113
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
|
E122667
|
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: Bucksturm | Statement: [Osnabrück, hasLandmark, Bucksturm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bucksturm Context triple: [Osnabrück, hasLandmark, Bucksturm]
-
A.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
B.
The Spearhead
The Spearhead is the nickname of the U.S. 5th Marine Division, a World War II Marine Corps unit renowned for its pivotal role in the Battle of Iwo Jima.
-
C.
A Day of Fury
A Day of Fury is a 1956 American Western film directed by Harmon Jones, known for its tense small-town drama and moral conflict.
-
D.
Firestorm
Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
-
E.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
- 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: Bucksturm Triple: [Osnabrück, hasLandmark, Bucksturm]
Generated description
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bucksturm Target entity description: Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
A.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
B.
The Spearhead
The Spearhead is the nickname of the U.S. 5th Marine Division, a World War II Marine Corps unit renowned for its pivotal role in the Battle of Iwo Jima.
-
C.
A Day of Fury
A Day of Fury is a 1956 American Western film directed by Harmon Jones, known for its tense small-town drama and moral conflict.
-
D.
Firestorm
Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
-
E.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7e28df08190b5be7794442a6f21 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb83118819098a2b283a1cbf8d6 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3e1821048190ad726b265c154abc |
completed | March 7, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e7f51fc81908e067a66e2714a50 |
completed | March 7, 2026, 3:04 p.m. |
Created at: March 1, 2026, 7:41 p.m.