Triple
T14859548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limpertsberg |
E349452
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Rollingergrund
Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
|
E1177926
|
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: Rollingergrund | Statement: [Limpertsberg, adjacentTo, Rollingergrund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rollingergrund Context triple: [Limpertsberg, adjacentTo, Rollingergrund]
-
A.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
B.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
-
C.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
D.
Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
-
E.
Steingaden
Steingaden is a Bavarian municipality in southern Germany known for its picturesque alpine setting and proximity to the UNESCO-listed Wies Church.
- 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: Rollingergrund Triple: [Limpertsberg, adjacentTo, Rollingergrund]
Generated description
Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rollingergrund Target entity description: Rollingergrund is a district of Luxembourg City known for its residential character and proximity to central neighborhoods like Limpertsberg.
-
A.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
B.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
-
C.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
D.
Wiesengrund
Wiesengrund is the original family name of the German philosopher, sociologist, and critical theorist Theodor W. Adorno.
-
E.
Steingaden
Steingaden is a Bavarian municipality in southern Germany known for its picturesque alpine setting and proximity to the UNESCO-listed Wies Church.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9976bc888190a050c2502d1f8e81 |
completed | May 9, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69ff9a56d43c8190819deb48d59e16cb |
completed | May 9, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9acbd2b481908b9d415e26d0db81 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 1:54 a.m.