Triple
T10092821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avas TV Tower |
E215784
|
entity |
| Predicate | hasViewOver |
P1323
|
FINISHED |
| Object | Miskolc urban area |
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 urban area | Statement: [Avas TV Tower, hasViewOver, Miskolc urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miskolc urban area Context triple: [Avas TV Tower, hasViewOver, Miskolc urban area]
-
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.
Kecskemét
Kecskemét is a city in central Hungary known for its Art Nouveau architecture, cultural institutions, and role as an administrative and economic center of the region.
-
D.
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.
-
E.
Zalaegerszeg
Zalaegerszeg is a city in western Hungary that serves as the administrative center of Zala County and a regional economic and cultural hub.
- 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_69cdd05c3c0c8190927580717429a4e5 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c559910819092b0eae9c05aa7dc |
completed | April 9, 2026, 3:26 a.m. |
Created at: March 30, 2026, 9:01 p.m.