Triple
T11881353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hietzing |
E282664
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Unter St. Veit
Unter St. Veit is a residential neighborhood in Vienna, Austria, situated within the city’s 13th district, Hietzing.
|
E951215
|
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: Unter St. Veit | Statement: [Hietzing, contains, Unter St. Veit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unter St. Veit Context triple: [Hietzing, contains, Unter St. Veit]
-
A.
Marktl am Inn
Marktl am Inn is a small Bavarian town in southeastern Germany best known as the birthplace of Pope Benedict XVI.
-
B.
Mürzzuschlag
Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
-
C.
Langweid am Lech
Langweid am Lech is a municipality in Bavaria, Germany, situated on the river Lech north of the city of Augsburg.
-
D.
Saal an der Saale
Saal an der Saale is a small municipality in northern Bavaria, Germany, situated along the Franconian Saale River.
-
E.
Saal an der Donau
Saal an der Donau is a Bavarian municipality situated on the Danube River in the Kelheim district of southern Germany.
- 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: Unter St. Veit Triple: [Hietzing, contains, Unter St. Veit]
Generated description
Unter St. Veit is a residential neighborhood in Vienna, Austria, situated within the city’s 13th district, Hietzing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unter St. Veit Target entity description: Unter St. Veit is a residential neighborhood in Vienna, Austria, situated within the city’s 13th district, Hietzing.
-
A.
Marktl am Inn
Marktl am Inn is a small Bavarian town in southeastern Germany best known as the birthplace of Pope Benedict XVI.
-
B.
Mürzzuschlag
Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
-
C.
Langweid am Lech
Langweid am Lech is a municipality in Bavaria, Germany, situated on the river Lech north of the city of Augsburg.
-
D.
Saal an der Saale
Saal an der Saale is a small municipality in northern Bavaria, Germany, situated along the Franconian Saale River.
-
E.
Saal an der Donau
Saal an der Donau is a Bavarian municipality situated on the Danube River in the Kelheim district of southern Germany.
- 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_69f281e6f8888190bc8495b1261a86df |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f28c2590608190b6470f1b67f06e0f |
completed | April 29, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28f4cb01c8190abf0397d14a3548c |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 8, 2026, 9:44 p.m.