Triple
T6845370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nam District, Daegu |
E157880
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Nam-gu |
E617002
|
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: Nam-gu | Statement: [Nam District, Daegu, subdivisionName, Nam-gu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nam-gu Context triple: [Nam District, Daegu, subdivisionName, Nam-gu]
-
A.
Nam-gu
Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
-
B.
Nam-gu
chosen
Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
-
C.
Hwanggujicheon
Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
-
D.
Namgang River
The Namgang River is a scenic waterway in South Korea known for flowing through Jinju and hosting the famous Jinju Namgang Yudeung (Lantern) Festival.
-
E.
Baram River
The Baram River is one of the largest rivers in northern Borneo, flowing through the Malaysian state of Sarawak to the South China Sea and supporting diverse indigenous communities and rainforest ecosystems.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75115c74c81909b02e4c49a98663c |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:19 p.m.