Triple
T14865721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th District of Budapest |
E349610
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Újlipótváros |
E349612
|
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: Újlipótváros | Statement: [13th District of Budapest, contains, Újlipótváros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Újlipótváros Context triple: [13th District of Budapest, contains, Újlipótváros]
-
A.
Újlipótváros
chosen
Újlipótváros is a central Budapest neighborhood known for its 20th-century modernist architecture, vibrant café culture, and proximity to the Danube.
-
B.
Lipótváros
Lipótváros is a historic central neighborhood of Budapest known for its grand 19th-century architecture, government buildings, and landmarks such as the Hungarian Parliament.
-
C.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
D.
Leninváros
Leninváros was the former name of the Hungarian industrial town now known as Tiszaújváros, developed during the socialist era.
-
E.
Parádsasvár
Parádsasvár is a small village in northern Hungary known for its scenic Mátra mountain surroundings and historic glassworks and castle.
- 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_69fe650e8aec8190acd4a9cb9cad2039 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.