Triple
T17703645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zierenberg |
E441373
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Oelshausen
Oelshausen is a small village that forms one of the constituent localities of the town of Zierenberg in the German state of Hesse.
|
E1297762
|
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: Oelshausen | Statement: [Zierenberg, hasSubdivision, Oelshausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oelshausen Context triple: [Zierenberg, hasSubdivision, Oelshausen]
-
A.
Oeynhausen
Oeynhausen is a German family name most notably associated with the spa town of Bad Oeynhausen in North Rhine-Westphalia.
-
B.
Rheinhausen
Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
-
C.
Wülscheid
Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, Germany.
-
D.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
-
E.
Ehringshausen
Ehringshausen is a municipality in the Lahn-Dill district of the German state of Hesse.
- 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: Oelshausen Triple: [Zierenberg, hasSubdivision, Oelshausen]
Generated description
Oelshausen is a small village that forms one of the constituent localities of the town of Zierenberg in the German state of Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oelshausen Target entity description: Oelshausen is a small village that forms one of the constituent localities of the town of Zierenberg in the German state of Hesse.
-
A.
Oeynhausen
Oeynhausen is a German family name most notably associated with the spa town of Bad Oeynhausen in North Rhine-Westphalia.
-
B.
Rheinhausen
Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
-
C.
Wülscheid
Wülscheid is a small locality within the Aegidienberg district of Bad Honnef in North Rhine-Westphalia, Germany.
-
D.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
-
E.
Ehringshausen
Ehringshausen is a municipality in the Lahn-Dill district of the German state of Hesse.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729528b88190bd8a104f6f6d4e69 |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0328ff60388190af4f7fe30a4c1d7c |
completed | May 12, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_6a032b79b55c81909ad92206c44402f5 |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c1200808190982b03ba82dda8cb |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:05 a.m.