Triple
T14148597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagyvárad tér |
E350615
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Nagyvárad tér square |
E350615
|
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: Nagyvárad tér square | Statement: [Nagyvárad tér, namedAfter, Nagyvárad tér square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagyvárad tér square Context triple: [Nagyvárad tér, namedAfter, Nagyvárad tér square]
-
A.
Nagyvárad tér
chosen
Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
-
B.
Dobó István Square
Dobó István Square is the central historic plaza of Eger, Hungary, known for its statues, baroque architecture, and role as a focal point of the city's cultural and social life.
-
C.
Deák Ferenc Square
Deák Ferenc Square is a central transport and public space hub in downtown Budapest, known as a key meeting point and gateway to the city's main attractions.
-
D.
Széchenyi Square
Széchenyi Square is the historic main square of Győr, Hungary, known for its Baroque architecture, prominent churches, and role as a central gathering place in the city.
-
E.
Rákóczi tér
Rákóczi tér is a public square and transport hub in Budapest known for its central location and metro station in the Józsefváros 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61237ef481909374c1f68a2370b7 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6476c15881909881b9f85697a9b2 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 12:55 a.m.