Triple
T20064233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bory-vár |
E499563
|
entity |
| Predicate | significantProjectOf |
P12153
|
FINISHED |
| Object | Jenő Bory |
—
|
NE NERFINISHED |
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: Jenő Bory | Statement: [Bory-vár, significantProjectOf, Jenő Bory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenő Bory Context triple: [Bory-vár, significantProjectOf, Jenő Bory]
-
A.
Jenő Bory
chosen
Jenő Bory was a Hungarian architect and sculptor best known for designing and building the eclectic, fairy-tale-like Bory Castle in Székesfehérvár.
-
B.
Gyula Fehér
Gyula Fehér is a technology entrepreneur best known as a co-founder of the live video streaming platform Ustream.
-
C.
Ernő Gerő
Ernő Gerő was a hardline Hungarian communist leader and brief de facto head of state whose intransigent policies and actions helped trigger the 1956 Hungarian Revolution.
-
D.
János Bottyán
János Bottyán was a prominent Hungarian general and kuruc military leader who fought against Habsburg rule during the late 17th and early 18th centuries.
-
E.
János Józsa
János Józsa is a Hungarian academic and engineer who has served as rector of the Budapest University of Technology and Economics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e663787190819096b2b78b38c1bf12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.