Triple
T18305214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Ambros |
E438465
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object |
Gendorf
Gendorf is an industrial site in Germany historically known for its chemical production facilities, including those associated with IG Farben during World War II.
|
E1316302
|
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: Gendorf | Statement: [Otto Ambros, workLocation, Gendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gendorf Context triple: [Otto Ambros, workLocation, Gendorf]
-
A.
Betzdorf
Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
-
B.
Reundorf
Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Langdorf
Langdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Nordendorf
Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
-
E.
Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
- 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: Gendorf Triple: [Otto Ambros, workLocation, Gendorf]
Generated description
Gendorf is an industrial site in Germany historically known for its chemical production facilities, including those associated with IG Farben during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gendorf Target entity description: Gendorf is an industrial site in Germany historically known for its chemical production facilities, including those associated with IG Farben during World War II.
-
A.
Betzdorf
Betzdorf is a commune in eastern Luxembourg known for its residential areas, railway facilities, and the presence of Betzdorf Castle.
-
B.
Reundorf
Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
C.
Langdorf
Langdorf is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Nordendorf
Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
-
E.
Nauendorf
Nauendorf is a village in the German state of Saxony-Anhalt that forms part of the town of Wettin-Löbejün.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50183394081909b86cefaaa0a3aa8 |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb61ec0c81908764d5a907d17ffe |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbda80748190b8e56fb77140ecb9 |
completed | May 12, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bc589a548190b6226a104adea97e |
completed | May 12, 2026, 11:48 p.m. |
Created at: April 10, 2026, 10:35 a.m.