Triple
T17122924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansan |
E415511
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Sangnok-gu
Sangnok-gu is a district of the city of Ansan in Gyeonggi Province, South Korea, known as one of its main urban and residential areas.
|
E1306574
|
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: Sangnok-gu | Statement: [Ansan, hasAdministrativeDivision, Sangnok-gu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangnok-gu Context triple: [Ansan, hasAdministrativeDivision, Sangnok-gu]
-
A.
Kangseo-gu
Kangseo-gu is the romanized name of Gangseo District, an administrative district of Seoul, South Korea.
-
B.
Geumjeong-gu
Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
-
C.
Gwangjin-gu
Gwangjin-gu is a district in eastern Seoul, South Korea, known for its universities, shopping areas, and the Konkuk University and Gangbyeon neighborhoods along the Han River.
-
D.
Sŏngbuk-gu
Sŏngbuk-gu is a residential and cultural district in northern Seoul, South Korea, known for its historic neighborhoods, embassies, and scenic urban landscapes.
-
E.
Sujeong-gu
Sujeong-gu is an administrative district in the city of Seongnam, South Korea, known for its residential neighborhoods and proximity to Seoul.
- 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: Sangnok-gu Triple: [Ansan, hasAdministrativeDivision, Sangnok-gu]
Generated description
Sangnok-gu is a district of the city of Ansan in Gyeonggi Province, South Korea, known as one of its main urban and residential areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sangnok-gu Target entity description: Sangnok-gu is a district of the city of Ansan in Gyeonggi Province, South Korea, known as one of its main urban and residential areas.
-
A.
Kangseo-gu
Kangseo-gu is the romanized name of Gangseo District, an administrative district of Seoul, South Korea.
-
B.
Geumjeong-gu
Geumjeong-gu is a district in Busan, South Korea, known for its residential areas, transportation hubs, and proximity to Geumjeongsan Mountain.
-
C.
Gwangjin-gu
Gwangjin-gu is a district in eastern Seoul, South Korea, known for its universities, shopping areas, and the Konkuk University and Gangbyeon neighborhoods along the Han River.
-
D.
Sŏngbuk-gu
Sŏngbuk-gu is a residential and cultural district in northern Seoul, South Korea, known for its historic neighborhoods, embassies, and scenic urban landscapes.
-
E.
Sujeong-gu
Sujeong-gu is an administrative district in the city of Seongnam, South Korea, known for its residential neighborhoods and proximity to Seoul.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80ac2cc819084fab829917c950a |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c21211c819089cf66e57e5aef00 |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037e03d37c819093ef34d1752f6c01 |
completed | May 12, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037f09a0b48190942cd8a6184a68fb |
completed | May 12, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:36 a.m.