Triple
T14865953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District VI |
E349615
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oktogon |
E349639
|
NE FINISHED |
How this triple was built (2 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: Oktogon | Statement: [District VI, contains, Oktogon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oktogon Context triple: [District VI, contains, Oktogon]
-
A.
Oktogon
chosen
Oktogon is a major octagonal intersection and public square in central Budapest, Hungary, where Andrássy Avenue crosses the Grand Boulevard.
-
B.
Livu Square
Livu Square is a popular public square in Riga’s Old Town known for its lively atmosphere, historic surroundings, and numerous cafes and events.
-
C.
Taumadhi Square
Taumadhi Square is a prominent historic plaza in Bhaktapur, Nepal, renowned for its traditional Newar architecture and iconic multi-tiered temples.
-
D.
Krasinski Square
Krasinski Square is a historic public square in Warsaw, Poland, known for its prominent monuments and proximity to significant cultural and governmental buildings.
-
E.
Szervita Square
Szervita Square is a small historic square in central Budapest known for its Baroque church, surrounding Art Nouveau and modern buildings, and its role as a busy urban junction in the city’s downtown district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5761c688190b4477cb081554b51 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650e8aec8190acd4a9cb9cad2039 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.