Triple
T9540741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelheim (district) |
E230148
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Elsendorf
Elsendorf is a small municipality in the Lower Bavarian region of Germany.
|
E805673
|
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: Elsendorf | Statement: [Kelheim (district), containsMunicipality, Elsendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsendorf Context triple: [Kelheim (district), containsMunicipality, Elsendorf]
-
A.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
-
B.
Arensburg
Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
-
C.
Froland
Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
-
D.
Elmora
Elmora is a residential neighborhood within the city of Elizabeth in Union County, New Jersey.
-
E.
Oldisleben
Oldisleben is a small town in the German state of Thuringia, known for its location along the Unstrut River and its historical rural character.
- 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: Elsendorf Triple: [Kelheim (district), containsMunicipality, Elsendorf]
Generated description
Elsendorf is a small municipality in the Lower Bavarian region of Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elsendorf Target entity description: Elsendorf is a small municipality in the Lower Bavarian region of Germany.
-
A.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
-
B.
Arensburg
Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
-
C.
Froland
Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
-
D.
Elmora
Elmora is a residential neighborhood within the city of Elizabeth in Union County, New Jersey.
-
E.
Oldisleben
Oldisleben is a small town in the German state of Thuringia, known for its location along the Unstrut River and its historical rural character.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
| NEDg | Description generation | batch_69d14d44b7f08190b66fecb315b37535 |
completed | April 4, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14e0823e881908ed723d20f14789b |
completed | April 4, 2026, 5:44 p.m. |
Created at: March 30, 2026, 8:01 p.m.