Triple
T9728025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | István Horthy |
E235663
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Kenderes |
E225331
|
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: Kenderes | Statement: [István Horthy, burialPlace, Kenderes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenderes Context triple: [István Horthy, burialPlace, Kenderes]
-
A.
Kenderes
chosen
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
-
B.
Kuzguncuk
Kuzguncuk is a historic, picturesque neighborhood on Istanbul’s Asian shore of the Bosphorus, known for its colorful wooden houses, multicultural heritage, and village-like atmosphere.
-
C.
Büyükerşen
Büyükerşen is a Turkish surname most prominently associated with Yılmaz Büyükerşen, a well-known academic and long-serving mayor of Eskişehir.
-
D.
Kınık
Kınık is a town and district in western Turkey known for its agricultural activities and location within İzmir Province.
-
E.
Karesz
Karesz is a Hungarian diminutive form of the male given name Károly.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb208a48190864f8f085da83db7 |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.