Triple
T6646762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSG Landers |
E150719
|
entity |
| Predicate | basedInMetropolitanCity |
P6317
|
FINISHED |
| Object | Incheon Metropolitan City |
E27787
|
NE FINISHED |
How this triple was built (3 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: Incheon Metropolitan City | Statement: [SSG Landers, basedInMetropolitanCity, Incheon Metropolitan City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Incheon Metropolitan City Context triple: [SSG Landers, basedInMetropolitanCity, Incheon Metropolitan City]
-
A.
Incheon
chosen
Incheon is a major port city in northwestern South Korea, known for its international airport and role as a key transportation and economic hub.
-
B.
Busan metropolitan area
The Busan metropolitan area is a major South Korean urban and economic hub centered on the port city of Busan, known for its extensive transportation links, coastal location, and role as a key gateway for international trade.
-
C.
Sejong City
Sejong City is South Korea’s planned administrative capital, designed to house numerous government ministries and ease congestion in Seoul.
-
D.
Daejeon
Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
-
E.
Yongin
Yongin is a rapidly growing city in the Seoul Capital Area of South Korea, known for attractions like Everland Resort and the Korean Folk Village.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInMetropolitanCity Context triple: [SSG Landers, basedInMetropolitanCity, Incheon Metropolitan City]
-
A.
basedInCity
chosen
Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
-
B.
locatedNearMetropolitanArea
Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
-
C.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
D.
homeCityMetropolitanArea
Indicates that a specified city serves as the primary metropolitan area associated with a given entity’s home location.
-
E.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
- F. None of above.
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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9765b3c5081908c3114271b5d3e15 |
completed | March 29, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.