Triple
T2379636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Humphreys |
E46279
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Anjeong-ri
Anjeong-ri is a town in Pyeongtaek, South Korea, known for hosting the large U.S. military community associated with nearby Camp Humphreys.
|
E260150
|
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: Anjeong-ri | Statement: [Camp Humphreys, locatedNear, Anjeong-ri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjeong-ri Context triple: [Camp Humphreys, locatedNear, Anjeong-ri]
-
A.
Suyŏng-gu
Suyŏng-gu is an urban district of Busan, South Korea, known for its coastal location and role as a residential and commercial hub within the city.
-
B.
Gamgok-myeon
Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
C.
Sasang-dong
Sasang-dong is a neighborhood in Busan, South Korea, known as an urban residential and commercial area within the city's Sasang District.
-
D.
Jurye-dong
Jurye-dong is a neighborhood (dong) in Busan, South Korea, known as a residential and commercial area within the city's Sasang District.
-
E.
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.
- 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: Anjeong-ri Triple: [Camp Humphreys, locatedNear, Anjeong-ri]
Generated description
Anjeong-ri is a town in Pyeongtaek, South Korea, known for hosting the large U.S. military community associated with nearby Camp Humphreys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anjeong-ri Target entity description: Anjeong-ri is a town in Pyeongtaek, South Korea, known for hosting the large U.S. military community associated with nearby Camp Humphreys.
-
A.
Suyŏng-gu
Suyŏng-gu is an urban district of Busan, South Korea, known for its coastal location and role as a residential and commercial hub within the city.
-
B.
Gamgok-myeon
Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
C.
Sasang-dong
Sasang-dong is a neighborhood in Busan, South Korea, known as an urban residential and commercial area within the city's Sasang District.
-
D.
Jurye-dong
Jurye-dong is a neighborhood (dong) in Busan, South Korea, known as a residential and commercial area within the city's Sasang District.
-
E.
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.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7b60c8c819080e4f682e4362a93 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8b23680819085e0c7da7b4da9e1 |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aea9a79c6081908706f9f1ca0d6c4d |
completed | March 9, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeaa12f3d88190b2a1dcc48817bae7 |
completed | March 9, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:57 p.m.