Triple
T16283631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau City |
E395330
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object |
Danube Tower
Danube Tower is a prominent observation and telecommunications tower in Vienna, Austria, known for its panoramic city views and revolving restaurant.
|
E1204449
|
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: Danube Tower | Statement: [Donau City, hasNearbyLandmark, Danube Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danube Tower Context triple: [Donau City, hasNearbyLandmark, Danube Tower]
-
A.
Piast Tower
Piast Tower is a historic medieval defensive tower in Opole, Poland, and one of the city’s most recognizable architectural symbols.
-
B.
Piast Tower
Piast Tower is a historic medieval defensive tower and prominent landmark in the town of Cieszyn in southern Poland.
-
C.
Granovitaya Tower
Granovitaya Tower is a historic defensive tower that forms part of the medieval Kolomna Kremlin fortress in Russia.
-
D.
Szolnok Water Tower
Szolnok Water Tower is a historic early-20th-century reinforced-concrete water tower and local landmark in the city of Szolnok, Hungary.
-
E.
Koromyslova Tower
Koromyslova Tower is a historic defensive tower and one of the prominent architectural features of the Nizhny Novgorod Kremlin in Russia.
- 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: Danube Tower Triple: [Donau City, hasNearbyLandmark, Danube Tower]
Generated description
Danube Tower is a prominent observation and telecommunications tower in Vienna, Austria, known for its panoramic city views and revolving restaurant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danube Tower Target entity description: Danube Tower is a prominent observation and telecommunications tower in Vienna, Austria, known for its panoramic city views and revolving restaurant.
-
A.
Piast Tower
Piast Tower is a historic medieval defensive tower and prominent landmark in the town of Cieszyn in southern Poland.
-
B.
Piast Tower
Piast Tower is a historic medieval defensive tower in Opole, Poland, and one of the city’s most recognizable architectural symbols.
-
C.
Granovitaya Tower
Granovitaya Tower is a historic defensive tower that forms part of the medieval Kolomna Kremlin fortress in Russia.
-
D.
Szolnok Water Tower
Szolnok Water Tower is a historic early-20th-century reinforced-concrete water tower and local landmark in the city of Szolnok, Hungary.
-
E.
Koromyslova Tower
Koromyslova Tower is a historic defensive tower and one of the prominent architectural features of the Nizhny Novgorod Kremlin in Russia.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0019c847a0819081b92e21ced73824 |
completed | May 10, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a7dcf888190b66122f2bfc7388b |
completed | May 10, 2026, 5:41 a.m. |
Created at: April 10, 2026, 5:05 a.m.