Triple
T19881788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namsan |
E477792
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Yongsan District, Seoul |
—
|
NE NERFINISHED |
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: Yongsan District, Seoul | Statement: [Namsan, locatedIn, Yongsan District, Seoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yongsan District, Seoul Context triple: [Namsan, locatedIn, Yongsan District, Seoul]
-
A.
Seocho District, Seoul
Seocho District, Seoul is a major affluent residential and business district in southern Seoul known for its legal institutions, cultural venues, and proximity to the Gangnam area.
-
B.
Yeongdeungpo District, Seoul
Yeongdeungpo District, Seoul is a major commercial and residential area in southwestern Seoul, known for its business centers, shopping complexes, and dense urban development.
-
C.
Dobong District, Seoul
Dobong District is a northern residential and mountainous borough of Seoul, South Korea, known for Dobongsan Mountain and its hiking trails.
-
D.
Gangseo District, Seoul
Gangseo District, Seoul is a western administrative district of South Korea’s capital known for its mix of residential areas, educational and cultural institutions, and proximity to Gimpo International Airport.
-
E.
Guro District, Seoul
Guro District, Seoul is a southwestern administrative district of South Korea’s capital known for its digital industrial complexes and technology-focused business centers.
- 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: Yongsan District, Seoul Target entity description: Yongsan District, Seoul is a central urban district of South Korea’s capital known for its major transportation hubs, international neighborhoods, and prominent landmarks including government, commercial, and cultural sites.
-
A.
Seocho District, Seoul
Seocho District, Seoul is a major affluent residential and business district in southern Seoul known for its legal institutions, cultural venues, and proximity to the Gangnam area.
-
B.
Yeongdeungpo District, Seoul
Yeongdeungpo District, Seoul is a major commercial and residential area in southwestern Seoul, known for its business centers, shopping complexes, and dense urban development.
-
C.
Dobong District, Seoul
Dobong District is a northern residential and mountainous borough of Seoul, South Korea, known for Dobongsan Mountain and its hiking trails.
-
D.
Gangseo District, Seoul
Gangseo District, Seoul is a western administrative district of South Korea’s capital known for its mix of residential areas, educational and cultural institutions, and proximity to Gimpo International Airport.
-
E.
Guro District, Seoul
Guro District, Seoul is a southwestern administrative district of South Korea’s capital known for its digital industrial complexes and technology-focused business centers.
- F. None of above. chosen
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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658df3f5c81909b5b290de91b8d50 |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.