Triple
T22183507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Marx |
E548231
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Marx Halle
Marx Halle is a historic wrought-iron exhibition hall in Vienna, Austria, now used as a cultural and event venue.
|
E1523355
|
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: Marx Halle | Statement: [St. Marx, hasLandmark, Marx Halle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marx Halle Context triple: [St. Marx, hasLandmark, Marx Halle]
-
A.
Helmut List Halle
Helmut List Halle is a modern multi-purpose cultural and event venue in Graz, Austria, known for hosting concerts, festivals, and large-scale performances.
-
B.
Meyenheim
Meyenheim is a commune in northeastern France that hosts a significant French military presence, including units such as the Régiment de marche du Tchad.
-
C.
J. Siegen
J. Siegen is a mountaineer known for making the first recorded ascent of the Swiss peak Mönch in the Bernese Alps.
-
D.
Berlin Eichkamp
Berlin Eichkamp was the former name of a Berlin S-Bahn station now known as Berlin-Westkreuz, located in the western part of the city.
-
E.
Max-Schmeling-Halle
Max-Schmeling-Halle is a large multi-purpose indoor arena in Berlin, Germany, used for sports events, concerts, and other major cultural activities.
- 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: Marx Halle Triple: [St. Marx, hasLandmark, Marx Halle]
Generated description
Marx Halle is a historic wrought-iron exhibition hall in Vienna, Austria, now used as a cultural and event venue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marx Halle Target entity description: Marx Halle is a historic wrought-iron exhibition hall in Vienna, Austria, now used as a cultural and event venue.
-
A.
Helmut List Halle
Helmut List Halle is a modern multi-purpose cultural and event venue in Graz, Austria, known for hosting concerts, festivals, and large-scale performances.
-
B.
Meyenheim
Meyenheim is a commune in northeastern France that hosts a significant French military presence, including units such as the Régiment de marche du Tchad.
-
C.
J. Siegen
J. Siegen is a mountaineer known for making the first recorded ascent of the Swiss peak Mönch in the Bernese Alps.
-
D.
Berlin Eichkamp
Berlin Eichkamp was the former name of a Berlin S-Bahn station now known as Berlin-Westkreuz, located in the western part of the city.
-
E.
Max-Schmeling-Halle
Max-Schmeling-Halle is a large multi-purpose indoor arena in Berlin, Germany, used for sports events, concerts, and other major cultural activities.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa687808190b9959d4e91db948a |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ecd0a7881909dbda649b8474ff1 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9f494f3c8190aee8f2e6dc1af763 |
completed | May 18, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa03a8e0c819089dc48473b5b743c |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 8:35 p.m.