Triple
T11704061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felvidék |
E278196
|
entity |
| Predicate | containsHistoricalCity |
P43430
|
FINISHED |
| Object | Eperjes |
E523394
|
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: Eperjes | Statement: [Felvidék, containsHistoricalCity, Eperjes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eperjes Context triple: [Felvidék, containsHistoricalCity, Eperjes]
-
A.
Eperjes
chosen
Eperjes is a historic town in present-day Slovakia, known today as Prešov, which was one of the major urban centers of the former Upper Hungary region.
-
B.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
C.
Mundruczó
Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
-
D.
Fajsz
Fajsz was a 10th-century Grand Prince of the early Hungarian state, known primarily from medieval chronicles as one of the Árpád dynasty rulers.
-
E.
Ezerjó
Ezerjó is a traditional Hungarian white grape variety known for producing fresh, high-acid wines, particularly associated with the Mór wine region.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49b1080819096593733ee48a187 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83525ae081909ee6f3fbb5d37dd7 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.