Triple
T17010288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passau |
E412680
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hacklberg
Hacklberg is a district of the Bavarian city of Passau, known for its residential areas and the historic Hacklberg brewery.
|
E1252666
|
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: Hacklberg | Statement: [Passau, hasPart, Hacklberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hacklberg Context triple: [Passau, hasPart, Hacklberg]
-
A.
Offenberg
Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
-
B.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
C.
Henschhausen
Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
-
D.
Veltheim
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
-
E.
Kaufering
Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
- 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: Hacklberg Triple: [Passau, hasPart, Hacklberg]
Generated description
Hacklberg is a district of the Bavarian city of Passau, known for its residential areas and the historic Hacklberg brewery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hacklberg Target entity description: Hacklberg is a district of the Bavarian city of Passau, known for its residential areas and the historic Hacklberg brewery.
-
A.
Offenberg
Offenberg is a municipality in the Bavarian region of Germany, situated within the Regen district.
-
B.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
C.
Henschhausen
Henschhausen is a small district or locality that forms part of the town of Bacharach in Rhineland-Palatinate, Germany.
-
D.
Veltheim
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
-
E.
Kaufering
Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
- 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_6a01413cc6f08190ae83a0c98fb96b90 |
completed | May 11, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_6a014218d0cc81909c1b1b4c11484364 |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01427ce5d08190b383ea907ca3352e |
completed | May 11, 2026, 2:44 a.m. |
Created at: April 10, 2026, 5:33 a.m.