Triple
T14902225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normafa |
E360033
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | János Hill |
E361617
|
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: János Hill | Statement: [Normafa, near, János Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: János Hill Context triple: [Normafa, near, János Hill]
-
A.
János Hill
chosen
János Hill is the highest peak of the Buda Hills in Budapest, Hungary, known for its panoramic city views and popular hiking and lookout spots.
-
B.
David Palffy
David Palffy is a Canadian actor best known for his recurring villain roles on the science fiction television series Stargate SG-1.
-
C.
János Józsa
János Józsa is a Hungarian academic and engineer who has served as rector of the Budapest University of Technology and Economics.
-
D.
Vilmos Huszár
Vilmos Huszár was a Hungarian-born Dutch painter and designer associated with the De Stijl movement, known for his abstract, geometric compositions and contributions to modernist art and design.
-
E.
Charles Molnar
Charles Molnar was an American computer engineer best known as the co-designer of the LINC, one of the earliest minicomputers and a pioneering machine in interactive computing.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60b24008190bd272c0d61329400 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b4e4f88190af7e859d93dbbd28 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:11 a.m.