Triple
T20588771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohang |
E505857
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Nam-gu
Nam-gu is an administrative district (gu) of the coastal city of Pohang in North Gyeongsang Province, South Korea.
|
E1440706
|
NE FINISHED |
How this triple was built (4 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: [Pohang, hasSubdivision, Nam-gu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nam-gu Context triple: [Pohang, hasSubdivision, Nam-gu]
-
A.
Nam-gu
Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
-
B.
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.
-
C.
Nam-gu
Nam-gu is a coastal district in the southeastern South Korean city of Busan, known for its residential areas, universities, and seaside parks.
-
D.
Seoktan River
The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
-
E.
Hwanggujicheon
Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nam-gu Triple: [Pohang, hasSubdivision, Nam-gu]
Generated description
Nam-gu is an administrative district (gu) of the coastal city of Pohang in North Gyeongsang Province, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nam-gu Target entity description: Nam-gu is an administrative district (gu) of the coastal city of Pohang in North Gyeongsang Province, South Korea.
-
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
Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
-
C.
Nam-gu
Nam-gu is a coastal district in the southeastern South Korean city of Busan, known for its residential areas, universities, and seaside parks.
-
D.
Seoktan River
The Seoktan River is a tributary waterway in the Korean Peninsula that feeds into the larger Imjin River system.
-
E.
Hwanggujicheon
Hwanggujicheon is a stream in Osan, South Korea, that serves as a local waterway and natural feature of the city’s landscape.
- F. None of above. chosen
Provenance (5 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a979e4a48190a948165fb0f3b265 |
completed | April 20, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb090bdc819081687127f0a717a5 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bba2e85881909ae887fc5bc3121f |
completed | May 16, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bc410f008190b00bf4956d591176 |
completed | May 16, 2026, 6:49 p.m. |
Created at: April 16, 2026, 11:40 a.m.