Triple
T10669533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongdan |
E251449
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Dongdan Subdistrict |
E251449
|
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: Dongdan Subdistrict | Statement: [Dongdan, administrativeDivision, Dongdan Subdistrict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongdan Subdistrict Context triple: [Dongdan, administrativeDivision, Dongdan Subdistrict]
-
A.
Dongdan
chosen
Dongdan is a central commercial and transportation hub in Beijing known for its shopping streets, offices, and busy intersections.
-
B.
Dong Da District
Dong Da District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, historical sites, and role as a major commercial and educational hub of the capital.
-
C.
Dong District
Dong District is an administrative district (gu) of Incheon, a major port city in northwestern South Korea.
-
D.
Dongbao District
Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
-
E.
Pyongchon District
Pyongchon District is a central urban district of Pyongyang, North Korea, known for its industrial facilities and major national institutions.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f861513881909b44c711371086b7 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98865f700819093c8cadc6fcef75f |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:09 p.m.