Triple
T15985068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Fischer |
E387670
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Liptóújvár |
E948761
|
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: Liptóújvár | Statement: [Samuel Fischer, placeOfBirth, Liptóújvár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liptóújvár Context triple: [Samuel Fischer, placeOfBirth, Liptóújvár]
-
A.
Liptó
chosen
Liptó is a historical region in northern Hungary (now largely in Slovakia), known for its mountainous landscape and traditional Hungarian and Slovak cultural heritage.
-
B.
Ungvár
Ungvár is the historical Hungarian name for the city now known as Uzhhorod, a regional center in western Ukraine near the Slovak border.
-
C.
Tiszavasvári
Tiszavasvári is a town in northeastern Hungary known for its agricultural surroundings and location within the Northern Great Plain region.
-
D.
Kozármisleny
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
E.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.