Triple
T14964501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VI District of Budapest |
E373153
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oktogon square |
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 square | Statement: [VI District of Budapest, contains, Oktogon square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oktogon square Context triple: [VI District of Budapest, contains, Oktogon square]
-
A.
Oktogon
chosen
Oktogon is a major octagonal intersection and public square in central Budapest, Hungary, where Andrássy Avenue crosses the Grand Boulevard.
-
B.
Dísz Square
Dísz Square is a historic public square in Budapest’s Castle District, known for its proximity to Buda Castle and its role as a central gathering and ceremonial space.
-
C.
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.
-
D.
Varnava Square
Varnava Square is a popular neighborhood square in the Pangrati district of Athens, known for its cafes, restaurants, and local social life.
-
E.
Neude square
Neude square is a central and lively public square in Utrecht, Netherlands, known for its cafés, events, and historic surroundings.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:45 a.m.