Triple
T9728062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Altötting |
E235664
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Erlbach
Erlbach is a small municipality in Bavaria, Germany, known for its rural character within the southeastern Bavarian region.
|
E838253
|
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: Erlbach | Statement: [district of Altötting, contains, Erlbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlbach Context triple: [district of Altötting, contains, Erlbach]
-
A.
Schönbichl
Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
-
B.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
C.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
-
D.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
- 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: Erlbach Triple: [district of Altötting, contains, Erlbach]
Generated description
Erlbach is a small municipality in Bavaria, Germany, known for its rural character within the southeastern Bavarian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erlbach Target entity description: Erlbach is a small municipality in Bavaria, Germany, known for its rural character within the southeastern Bavarian region.
-
A.
Schönbichl
Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
-
B.
Neulengbach
Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
-
C.
Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
-
D.
Niederwerrn
Niederwerrn is a municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Kößlarn
Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29999e9248190b2f1900fa7ad3da5 |
completed | April 5, 2026, 5:19 p.m. |
| NEDg | Description generation | batch_69d29b28f48081909f7e0487800ebe52 |
completed | April 5, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29be3713c819089843c4ec2be93f1 |
completed | April 5, 2026, 5:29 p.m. |
Created at: March 30, 2026, 8:21 p.m.