Triple
T1673878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgenlandkreis |
E36186
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nebra (Unstrut)
Nebra (Unstrut) is a small town in Saxony-Anhalt, Germany, best known for the discovery of the Bronze Age Nebra sky disk nearby.
|
E189698
|
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: Nebra (Unstrut) | Statement: [Burgenlandkreis, contains, Nebra (Unstrut)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebra (Unstrut) Context triple: [Burgenlandkreis, contains, Nebra (Unstrut)]
-
A.
Pegnitz River
The Pegnitz River is a river in the German state of Bavaria that flows through the city of Nuremberg and joins the Rednitz to form the Regnitz.
-
B.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
C.
Saale
The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
-
D.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
-
E.
Würschnitz
Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz 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: Nebra (Unstrut) Triple: [Burgenlandkreis, contains, Nebra (Unstrut)]
Generated description
Nebra (Unstrut) is a small town in Saxony-Anhalt, Germany, best known for the discovery of the Bronze Age Nebra sky disk nearby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nebra (Unstrut) Target entity description: Nebra (Unstrut) is a small town in Saxony-Anhalt, Germany, best known for the discovery of the Bronze Age Nebra sky disk nearby.
-
A.
Pegnitz River
The Pegnitz River is a river in the German state of Bavaria that flows through the city of Nuremberg and joins the Rednitz to form the Regnitz.
-
B.
Chemnitz River
The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
-
C.
Saale
The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
-
D.
Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
-
E.
Würschnitz
Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6246753081909dace4eacf9cb1c0 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b341bc8190b79f76f426dfa7dd |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad735efb0081909bacb7fc0f2d7cbd |
completed | March 8, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad73b461148190b7b9d9d07233223b |
completed | March 8, 2026, 1:03 p.m. |
Created at: March 4, 2026, 7:29 p.m.