Triple
T20257811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabi |
E498749
|
entity |
| Predicate | modernSettlementCoreOf |
P139423
|
FINISHED |
| Object | Buyeo-eup |
—
|
NE NERFINISHED |
How this triple was built (4 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: Buyeo-eup | Statement: [Sabi, modernSettlementCoreOf, Buyeo-eup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buyeo-eup Context triple: [Sabi, modernSettlementCoreOf, Buyeo-eup]
-
A.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
B.
Beomseo-eup
Beomseo-eup is a town-level administrative division located within Ulju County in Ulsan, South Korea.
-
C.
Eumseong-eup
Eumseong-eup is the main urban township and administrative center of Eumseong County in North Chungcheong Province, South Korea.
-
D.
Daedeok-gu
Daedeok-gu is a district in the city of Daejeon, South Korea, known for encompassing parts of the country’s major research and science complex.
-
E.
Bucheon
Bucheon is a major satellite city of Seoul in South Korea, known for its dense urban environment and cultural attractions such as the Bucheon International Fantastic Film Festival.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buyeo-eup Target entity description: Buyeo-eup is a town in South Chungcheong Province, South Korea, known for its rich Baekje-era heritage and numerous historical and archaeological sites.
-
A.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
B.
Beomseo-eup
Beomseo-eup is a town-level administrative division located within Ulju County in Ulsan, South Korea.
-
C.
Eumseong-eup
Eumseong-eup is the main urban township and administrative center of Eumseong County in North Chungcheong Province, South Korea.
-
D.
Daedeok-gu
Daedeok-gu is a district in the city of Daejeon, South Korea, known for encompassing parts of the country’s major research and science complex.
-
E.
Bucheon
Bucheon is a major satellite city of Seoul in South Korea, known for its dense urban environment and cultural attractions such as the Bucheon International Fantastic Film Festival.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernSettlementCoreOf Context triple: [Sabi, modernSettlementCoreOf, Buyeo-eup]
-
A.
modernSettlement
Indicates that the subject is a contemporary or currently existing human settlement located at the object.
-
B.
modernSettlementArea
Indicates the geographic area occupied by a settlement in its modern or current form.
-
C.
mainSettlement
Indicates that one settlement serves as the primary or most important settlement associated with a given area, region, or administrative unit.
-
D.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
-
E.
formerMainSettlement
Indicates that a location was previously the primary or most important settlement of a given area, but no longer holds that status.
- F. None of above. chosen
Provenance (4 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c7296c819092860942de8f28d5 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.