Triple
T14867119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagyvásárcsarnok |
E349644
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Fővám tér |
E1123318
|
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: Fővám tér | Statement: [Nagyvásárcsarnok, locatedOn, Fővám tér]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fővám tér Context triple: [Nagyvásárcsarnok, locatedOn, Fővám tér]
-
A.
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.
-
B.
Nagyvárad tér
Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
-
C.
Bécsi kapu tér
Bécsi kapu tér is a historic square in Budapest’s Castle District, known for its medieval atmosphere, notable buildings, and proximity to the Vienna Gate.
-
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.
Vigadó tér
chosen
Vigadó tér is a prominent square on the Pest side of central Budapest, known for its riverside location along the Danube and its proximity to major cultural and historic landmarks.
- 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_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133571008190b7e7867208095b90 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 10, 2026, 1:55 a.m.