Triple
T20667824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freising district |
E507938
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fahrenzhausen
Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
|
E1481273
|
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: Fahrenzhausen | Statement: [Freising district, contains, Fahrenzhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahrenzhausen Context triple: [Freising district, contains, Fahrenzhausen]
-
A.
Schneringhausen
Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
-
B.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
C.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
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.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern 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: Fahrenzhausen Triple: [Freising district, contains, Fahrenzhausen]
Generated description
Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fahrenzhausen Target entity description: Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
-
A.
Schneringhausen
Schneringhausen is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
-
B.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
C.
Helmarshausen
Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
-
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.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09b409caac819085163e0d2dc3a020 |
completed | May 17, 2026, 12:26 p.m. |
| NEDg | Description generation | batch_6a09b5e6d1ac8190aeec88859d17d257 |
completed | May 17, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b699fef081909797a5fc50814cb9 |
completed | May 17, 2026, 12:37 p.m. |
Created at: April 16, 2026, 11:44 a.m.