Triple
T15618039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budapest 13th district |
E375469
|
entity |
| Predicate | hasPart |
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: [Budapest 13th district, hasPart, Újlipótváros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Újlipótváros Context triple: [Budapest 13th district, hasPart, 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.
Józsiváros
Józsiváros is a colloquial nickname for Budapest’s 8th district, Józsefváros, often used informally by locals.
-
D.
Tiszaújváros
Tiszaújváros is an industrial town in northeastern Hungary known for its large chemical and energy industries and its location along the Tisza River.
-
E.
Leninváros
Leninváros was the former name of the Hungarian industrial town now known as Tiszaújváros, developed during the socialist era.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56def20881909f835dd44ab9ac2b |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.