Triple
T16360370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incheon |
E397293
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Seo District |
E159654
|
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: Seo District | Statement: [Incheon, hasDistrict, Seo District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seo District Context triple: [Incheon, hasDistrict, Seo District]
-
A.
Seo District
chosen
Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
-
B.
Daowai District
Daowai District is an urban district of Harbin in Heilongjiang Province, China, known for its historic architecture and traditional neighborhoods.
-
C.
Xi District
Xi District is an urban administrative district of the city of Panzhihua in Sichuan Province, China.
-
D.
Shapingba District
Shapingba District is a major urban district of Chongqing, China, known for its universities, historical sites, and role as an educational and cultural center of the city.
-
E.
Hongo district
Hongo district is a historic and academic neighborhood in Tokyo’s Bunkyō ward, known for institutions like the University of Tokyo and its traditional residential character.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad241848190a9f32c7b050f20a5 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01673979608190905afae3071413c0 |
completed | May 11, 2026, 5:20 a.m. |
Created at: April 10, 2026, 5:08 a.m.