Triple
T21044527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yi Seong-gye |
E518413
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Geonwonneung |
—
|
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: Geonwonneung | Statement: [Yi Seong-gye, burialPlace, Geonwonneung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geonwonneung Context triple: [Yi Seong-gye, burialPlace, Geonwonneung]
-
A.
Geonwonneung
chosen
Geonwonneung is a royal tomb of the Joseon Dynasty in South Korea, notable as one of the burial sites within the Donggureung royal tomb complex.
-
B.
Sinwonsa
Sinwonsa is a historic Buddhist temple in South Korea, known as one of the principal temples on Mount Gyeryong and noted for its traditional architecture and serene natural setting.
-
C.
Gongnie
Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
-
D.
Donhwamun
Donhwamun is the main gate of Changdeokgung Palace in Seoul, South Korea, and one of the oldest surviving palace gates from the Joseon Dynasty.
-
E.
Pangyo
Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:24 p.m.