Triple
T5733700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Bultmann |
E126447
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Wiefelstede
Wiefelstede is a municipality in Lower Saxony, Germany, known as the birthplace of influential theologian Rudolf Bultmann.
|
E541109
|
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: Wiefelstede | Statement: [Rudolf Bultmann, placeOfBirth, Wiefelstede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiefelstede Context triple: [Rudolf Bultmann, placeOfBirth, Wiefelstede]
-
A.
Stadshagen
Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
-
C.
Soest
Soest is a Dutch town and municipality in the central Netherlands known for its green surroundings and proximity to the Utrechtse Heuvelrug.
-
D.
Haselhorst
Haselhorst is a residential and industrial locality in the Spandau borough of Berlin, Germany, known for its housing estates and proximity to the River Havel.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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: Wiefelstede Triple: [Rudolf Bultmann, placeOfBirth, Wiefelstede]
Generated description
Wiefelstede is a municipality in Lower Saxony, Germany, known as the birthplace of influential theologian Rudolf Bultmann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wiefelstede Target entity description: Wiefelstede is a municipality in Lower Saxony, Germany, known as the birthplace of influential theologian Rudolf Bultmann.
-
A.
Stadshagen
Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Soest
Soest is a Dutch town and municipality in the central Netherlands known for its green surroundings and proximity to the Utrechtse Heuvelrug.
-
C.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
-
D.
Haselhorst
Haselhorst is a residential and industrial locality in the Spandau borough of Berlin, Germany, known for its housing estates and proximity to the River Havel.
-
E.
Wallhausen
Wallhausen is a village in present-day Saxony-Anhalt, Germany, historically notable as the birthplace of Otto I, Holy Roman Emperor.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02534288c8190807dcdd183fccfe5 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a931b3c819092119a1587625eb5 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c471c3081909e5bf44f47388a7c |
completed | March 22, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05cda809c81908219947cf06c381a |
completed | March 22, 2026, 9:19 p.m. |
Created at: March 22, 2026, 3:47 p.m.