Triple
T15858334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeryong |
E384517
|
entity |
| Predicate | hasRevisedRomanization |
P23170
|
FINISHED |
| Object | Gyeryong-si |
E649118
|
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: Gyeryong-si | Statement: [Gyeryong, hasRevisedRomanization, Gyeryong-si]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeryong-si Context triple: [Gyeryong, hasRevisedRomanization, Gyeryong-si]
-
A.
Gyeryong city
chosen
Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
-
B.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
C.
Gwangmyeong
Gwangmyeong is a city in South Korea known for its proximity to Seoul and attractions like the Gwangmyeong Cave, a former mine turned cultural and tourism complex.
-
D.
Sangju
Sangju is a city in southeastern South Korea known historically for agriculture, particularly rice and dried persimmons, and for its role as a regional transport hub.
-
E.
Kŏje-si
Kŏje-si is the McCune–Reischauer romanization of Geoje, a city in South Gyeongsang Province, South Korea, known for its shipbuilding industry and scenic coastal landscapes.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555956ec8190b13602a177e7a2bb |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b717c88190b974a44470136ff2 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:50 a.m.