Triple
T11454058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto the Child |
E271478
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Harzburg
Harzburg is a historic town in Lower Saxony, Germany, known for its medieval castle ruins and role as a former stronghold of regional nobility.
|
E941301
|
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: Harzburg | Statement: [Otto the Child, placeOfDeath, Harzburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harzburg Context triple: [Otto the Child, placeOfDeath, Harzburg]
-
A.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
B.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
C.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
D.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
E.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
- 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: Harzburg Triple: [Otto the Child, placeOfDeath, Harzburg]
Generated description
Harzburg is a historic town in Lower Saxony, Germany, known for its medieval castle ruins and role as a former stronghold of regional nobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harzburg Target entity description: Harzburg is a historic town in Lower Saxony, Germany, known for its medieval castle ruins and role as a former stronghold of regional nobility.
-
A.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
B.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
-
C.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
D.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
E.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8201715c819090cbd7c1e3068bdd |
completed | April 27, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69ef96ab29d48190b225504856007384 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd64bfa7081909715aa64d80fadf3 |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:35 p.m.