Triple
T13036076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 42 (school) |
E326563
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object |
42 Heilbronn
42 Heilbronn is a tuition-free, peer-to-peer coding school in Germany that is part of the international 42 network focused on project-based software engineering education.
|
E1017934
|
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: 42 Heilbronn | Statement: [42 (school), hasCampus, 42 Heilbronn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 42 Heilbronn Context triple: [42 (school), hasCampus, 42 Heilbronn]
-
A.
Frontenhausen
Frontenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
B.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
C.
Mehring
Mehring is a municipality in Bavaria, Germany, located within the district of Altötting.
-
D.
Mehring
Mehring is a German surname most notably associated with Franz Mehring, a prominent Marxist historian, journalist, and politician.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm 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: 42 Heilbronn Triple: [42 (school), hasCampus, 42 Heilbronn]
Generated description
42 Heilbronn is a tuition-free, peer-to-peer coding school in Germany that is part of the international 42 network focused on project-based software engineering education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 42 Heilbronn Target entity description: 42 Heilbronn is a tuition-free, peer-to-peer coding school in Germany that is part of the international 42 network focused on project-based software engineering education.
-
A.
Frontenhausen
Frontenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
-
B.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
C.
Mehring
Mehring is a municipality in Bavaria, Germany, located within the district of Altötting.
-
D.
Mehring
Mehring is a German surname most notably associated with Franz Mehring, a prominent Marxist historian, journalist, and politician.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcf11f88190ab1746f973132af1 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cee0a27081909203e3331186b4ca |
completed | May 3, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cf987f68819084edcd6613832fe8 |
completed | May 3, 2026, 4:31 a.m. |
Created at: April 9, 2026, 8:55 p.m.