Triple
T9728046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Altötting |
E235664
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Haiming
Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
|
E816636
|
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: Haiming | Statement: [district of Altötting, contains, Haiming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haiming Context triple: [district of Altötting, contains, Haiming]
-
A.
Haiming
Haiming is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular outdoor recreation areas.
-
B.
Chieming
Chieming is a Bavarian municipality on the eastern shore of Lake Chiemsee in southern Germany, known for its lakeside tourism and scenic Alpine surroundings.
-
C.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
- 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: Haiming Triple: [district of Altötting, contains, Haiming]
Generated description
Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haiming Target entity description: Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
-
A.
Haiming
Haiming is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular outdoor recreation areas.
-
B.
Chieming
Chieming is a Bavarian municipality on the eastern shore of Lake Chiemsee in southern Germany, known for its lakeside tourism and scenic Alpine surroundings.
-
C.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Yuanhong
Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
- 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_69d19fb208a48190864f8f085da83db7 |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a1057e0c819096cc0984c9a83bb9 |
completed | April 4, 2026, 11:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a184af3081908ce2932218244e7d |
completed | April 4, 2026, 11:40 p.m. |
Created at: March 30, 2026, 8:21 p.m.