Triple
T14796732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad I of Germany |
E347799
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Frankenberg
Frankenberg is a town in the German state of Hesse, historically notable as the place where King Conrad I of Germany died.
|
E1166767
|
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: Frankenberg | Statement: [Conrad I of Germany, deathPlace, Frankenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankenberg Context triple: [Conrad I of Germany, deathPlace, Frankenberg]
-
A.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
-
B.
Birkenfeld
Birkenfeld is a town in western Germany historically associated with the Palatine counts, including Christian I of Birkenfeld-Zweibrücken.
-
C.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
D.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
-
E.
Borbach
Borbach is a small river or stream associated with the city of Witten in North Rhine-Westphalia, Germany.
- 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: Frankenberg Triple: [Conrad I of Germany, deathPlace, Frankenberg]
Generated description
Frankenberg is a town in the German state of Hesse, historically notable as the place where King Conrad I of Germany died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frankenberg Target entity description: Frankenberg is a town in the German state of Hesse, historically notable as the place where King Conrad I of Germany died.
-
A.
Erstfeld
Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
-
B.
Birkenfeld
Birkenfeld is a town in western Germany historically associated with the Palatine counts, including Christian I of Birkenfeld-Zweibrücken.
-
C.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
D.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
-
E.
Borbach
Borbach is a small river or stream associated with the city of Witten in North Rhine-Westphalia, Germany.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56afa5ec8190a058574dff7431dc |
completed | May 9, 2026, 3:45 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 1:31 a.m.