Triple
T11881357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hietzing |
E282664
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Auhof
Auhof is a residential and commercial area in Vienna’s 13th district, Hietzing, known for its housing estates and shopping facilities on the western edge of the city.
|
E960074
|
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: Auhof | Statement: [Hietzing, contains, Auhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auhof Context triple: [Hietzing, contains, Auhof]
-
A.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Ambach
Ambach is a small village in Bavaria, Germany, situated on the shores of Lake Starnberg and administratively part of the municipality of Münsing.
-
C.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
D.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
E.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian 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: Auhof Triple: [Hietzing, contains, Auhof]
Generated description
Auhof is a residential and commercial area in Vienna’s 13th district, Hietzing, known for its housing estates and shopping facilities on the western edge of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auhof Target entity description: Auhof is a residential and commercial area in Vienna’s 13th district, Hietzing, known for its housing estates and shopping facilities on the western edge of the city.
-
A.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
B.
Ambach
Ambach is a small village in Bavaria, Germany, situated on the shores of Lake Starnberg and administratively part of the municipality of Münsing.
-
C.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
D.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
E.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a4d0e908190b6465b1094373e2c |
completed | May 1, 2026, 11:11 a.m. |
| NEDg | Description generation | batch_69f48fc3baac8190af87b55164f00b26 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495ab52788190a886f7014267f8e2 |
completed | May 1, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:44 p.m.