Triple
T9364308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Dachau |
E225361
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Altomünster
Altomünster is a market town in Upper Bavaria, Germany, known for its historic monastery and rural Bavarian character.
|
E794711
|
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: Altomünster | Statement: [district of Dachau, contains, Altomünster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altomünster Context triple: [district of Dachau, contains, Altomünster]
-
A.
Altmünster
Altmünster is a market town in Upper Austria, situated on the shores of Lake Traunsee and known for its scenic Alpine surroundings.
-
B.
Angmering
Angmering is a large village and civil parish in the Arun district of West Sussex, England, situated between Littlehampton and Worthing near the south coast.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Alfhausen
Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
-
E.
Philippsthal
Philippsthal is a small municipality in the German state of Hesse, historically associated with the cadet branch of the House of Hesse known as Hesse-Philippsthal-Barchfeld.
- 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: Altomünster Triple: [district of Dachau, contains, Altomünster]
Generated description
Altomünster is a market town in Upper Bavaria, Germany, known for its historic monastery and rural Bavarian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altomünster Target entity description: Altomünster is a market town in Upper Bavaria, Germany, known for its historic monastery and rural Bavarian character.
-
A.
Altmünster
Altmünster is a market town in Upper Austria, situated on the shores of Lake Traunsee and known for its scenic Alpine surroundings.
-
B.
Angmering
Angmering is a large village and civil parish in the Arun district of West Sussex, England, situated between Littlehampton and Worthing near the south coast.
-
C.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
D.
Alfhausen
Alfhausen is a small municipality in Lower Saxony, Germany, known for its rural character and location within the Osnabrück region.
-
E.
Philippsthal
Philippsthal is a small municipality in the German state of Hesse, historically associated with the cadet branch of the House of Hesse known as Hesse-Philippsthal-Barchfeld.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503fd7f081909655e2a880c84834 |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3f3c420819084b65fd4537aaf93 |
completed | April 4, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d0f619e91081909c2ec17e89376295 |
completed | April 4, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f6ce1a0c8190aca34958935e0e59 |
completed | April 4, 2026, 11:32 a.m. |
Created at: March 30, 2026, 7:42 p.m.