Triple
T14865931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District IV of Budapest |
E349614
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Újpest-központ |
E1123530
|
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: Újpest-központ | Statement: [District IV of Budapest, hasNeighbourhood, Újpest-központ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Újpest-központ Context triple: [District IV of Budapest, hasNeighbourhood, Újpest-központ]
-
A.
Újpest town center
chosen
Újpest town center is the main commercial and social hub of Budapest’s 4th district, featuring shops, services, public spaces, and transport connections.
-
B.
Újbuda-központ
Újbuda-központ is a major public transport and commercial hub in Budapest’s 11th district, serving as a key interchange for trams, buses, and the M4 metro line.
-
C.
Újvidék
Újvidék is the Hungarian name for Novi Sad, a major cultural and economic center in northern Serbia and the capital of the autonomous province of Vojvodina.
-
D.
Újlipótváros
Újlipótváros is a central Budapest neighborhood known for its 20th-century modernist architecture, vibrant café culture, and proximity to the Danube.
-
E.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
- 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_69fe6b4f224c8190bb2e06203c9b3a94 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.