Triple
T14865895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District IV of Budapest |
E349614
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Újpest |
E1186913
|
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 | Statement: [District IV of Budapest, commonName, Újpest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Újpest Context triple: [District IV of Budapest, commonName, Újpest]
-
A.
Újpest
chosen
Újpest is a northern district of Budapest, Hungary, known for its residential neighborhoods, industrial heritage, and the Újpest FC football club.
-
B.
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.
-
C.
Újbuda
Újbuda is a major residential and commercial district on the Buda side of Budapest, known for its universities, cultural venues, and riverside areas along the Danube.
-
D.
Dunaújváros
Dunaújváros is an industrial city in central Hungary known for its steel production and post-war socialist urban planning.
-
E.
Veszprém
Veszprém is a historic city in western Hungary known for its medieval castle district and role as a regional cultural and administrative center.
- 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_69ffc3aeb59c8190a39ccb4df7815ed0 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 10, 2026, 1:55 a.m.