Triple
T2166626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary of Hungary |
E46922
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Buda |
E70138
|
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: Buda | Statement: [Mary of Hungary, residence, Buda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buda Context triple: [Mary of Hungary, residence, Buda]
-
A.
Buda
chosen
Buda is the historic western part of modern-day Budapest, known for its hilly landscape, medieval castle district, and role as a former capital of the Kingdom of Hungary.
-
B.
Buda Bari
Buda Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
-
C.
Baidima
Baidima is a traditional folk dance of the Dimasa people of Northeast India, performed during cultural and festive occasions to express joy and community identity.
-
D.
Bồ Đề
Bồ Đề is an urban ward of Long Biên District in Hanoi, Vietnam, known for its dense residential areas and proximity to central Hanoi across the Red River.
-
E.
Badiot
Badiot is a regional variety of the Ladin language spoken in parts of the Dolomite region of northern Italy.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeab223881908aaa2bc4f85329cc |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f044b8819092c58022383d3468 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.