Triple
T4194710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Lufft |
E89117
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Wittenberg |
E30826
|
NE FINISHED |
How this triple was built (2 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: Wittenberg | Statement: [Hans Lufft, workLocation, Wittenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittenberg Context triple: [Hans Lufft, workLocation, Wittenberg]
-
A.
Wittenberg
chosen
Wittenberg is a historic German city best known as the cradle of the Protestant Reformation and the place where Martin Luther taught and preached.
-
B.
Village of Wittenberg
The Village of Wittenberg is a small rural community in central Wisconsin known for its agricultural surroundings and local small-town character.
-
C.
Wittenberg University
Wittenberg University is a private liberal arts college known for its strong undergraduate programs and historic campus in Springfield, Ohio.
-
D.
University of Wittenberg
The University of Wittenberg was a prominent early 16th-century German university renowned as the cradle of the Protestant Reformation and the academic home of Martin Luther.
-
E.
Heidelberg
Heidelberg is a historic university city in southwestern Germany renowned for its picturesque old town, castle ruins, and one of Europe’s oldest universities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af034406348190a56c21b5c08a6828 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a0d7fa88190a2c830e298542068 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:46 p.m.