Triple
T17010287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passau |
E412680
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Grubweg
Grubweg is a district of the city of Passau in Bavaria, Germany, situated along the Danube River.
|
E1244653
|
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: Grubweg | Statement: [Passau, hasPart, Grubweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grubweg Context triple: [Passau, hasPart, Grubweg]
-
A.
Alweg
Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
-
B.
Wegeleben
Wegeleben is a small town in the Harz district of Saxony-Anhalt, Germany, historically noted as the birthplace of high-ranking Nazi official Martin Bormann.
-
C.
Carril
Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
-
D.
Schluefweg
Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
-
E.
Ratsweg
Ratsweg is a street in Frankfurt am Main, Germany, known for running past major local facilities such as the Eissporthalle Frankfurt ice rink.
- 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: Grubweg Triple: [Passau, hasPart, Grubweg]
Generated description
Grubweg is a district of the city of Passau in Bavaria, Germany, situated along the Danube River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grubweg Target entity description: Grubweg is a district of the city of Passau in Bavaria, Germany, situated along the Danube River.
-
A.
Alweg
Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
-
B.
Wegeleben
Wegeleben is a small town in the Harz district of Saxony-Anhalt, Germany, historically noted as the birthplace of high-ranking Nazi official Martin Bormann.
-
C.
Carril
Carril is a Spanish-origin surname most notably associated with Hall of Fame basketball coach Pete Carril.
-
D.
Schluefweg
Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
-
E.
Ratsweg
Ratsweg is a street in Frankfurt am Main, Germany, known for running past major local facilities such as the Eissporthalle Frankfurt ice rink.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d7d03c8190943777f4eac956fd |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01159a08b081908fc82adc7cca532a |
completed | May 10, 2026, 11:32 p.m. |
Created at: April 10, 2026, 5:33 a.m.