Triple
T10093301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillafüred |
E215798
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Miskolc municipality |
E38152
|
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: Miskolc municipality | Statement: [Lillafüred, partOf, Miskolc municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miskolc municipality Context triple: [Lillafüred, partOf, Miskolc municipality]
-
A.
Miskolc
chosen
Miskolc is a large industrial and cultural city in northeastern Hungary, known for its steel industry, historic center, and nearby cave baths.
-
B.
Újszeged district
Újszeged district is a residential and recreational area of the city of Szeged in Hungary, located on the left bank of the Tisza River.
-
C.
Lehel district
Lehel district is a historic and central neighborhood in Munich, Germany, known for its elegant architecture, proximity to the city center, and location along the Isar River.
-
D.
Törökszentmiklós
Törökszentmiklós is a town in central-eastern Hungary known for its agricultural surroundings and location within the Great Hungarian Plain.
-
E.
Rákosszentmihály
Rákosszentmihály is a residential neighborhood in the 16th district of Budapest, known for its suburban character and family-friendly environment.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23aeb6f9c8190a986af35bcf353f7 |
completed | April 17, 2026, 1:51 p.m. |
Created at: March 30, 2026, 9:01 p.m.