Triple
T7761901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daedeok-gu |
E176041
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Daedeok-gu (Revised Romanization) |
E176041
|
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: Daedeok-gu (Revised Romanization) | Statement: [Daedeok-gu, hasTransliteration, Daedeok-gu (Revised Romanization)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daedeok-gu (Revised Romanization) Context triple: [Daedeok-gu, hasTransliteration, Daedeok-gu (Revised Romanization)]
-
A.
Daedeok-gu
chosen
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.
-
B.
Seo-gu
Seo-gu is an administrative district in the city of Daegu, South Korea, known primarily as a residential and commercial urban area.
-
C.
Seo-gu
Seo-gu is a district of the metropolitan city of Daejeon in South Korea, known for its residential areas, commercial centers, and educational institutions.
-
D.
Yeongdeungpo-dong
Yeongdeungpo-dong is a central neighborhood in Seoul, South Korea, known as the administrative and commercial core of Yeongdeungpo District.
-
E.
Deokpo-dong
Deokpo-dong is a neighborhood (dong) located within Sasang District in the city of Busan, South Korea.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70404c2108190ad2b900ac9bf582b |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7d658888190af97b83127086a2b |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:09 p.m.