Triple
T14148065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District VIII (Józsefváros) |
E350603
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nagyvárad tér |
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 | Statement: [District VIII (Józsefváros), contains, Nagyvárad tér]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagyvárad tér Context triple: [District VIII (Józsefváros), contains, Nagyvárad tér]
-
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.
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.
-
C.
Szent István tér
Szent István tér is a central public square in Pécs, Hungary, known for its historic surroundings and cultural attractions.
-
D.
Széchenyi István tér
Széchenyi István tér is a prominent square in central Budapest, Hungary, known for its grand riverside location by the Danube and its surrounding historic and cultural landmarks.
-
E.
Batthyány tér
Batthyány tér is a prominent square and transport hub on the Buda side of central Budapest, situated along the Danube with notable views of the Parliament building.
- 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_69fd324531c88190abab2092d1f7145d |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 10, 2026, 12:55 a.m.