Triple
T6563830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulju-gun |
E153850
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Samnam-myeon
Samnam-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
|
E615532
|
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: Samnam-myeon | Statement: [Ulju-gun, hasSubdivision, Samnam-myeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samnam-myeon Context triple: [Ulju-gun, hasSubdivision, Samnam-myeon]
-
A.
Samseong-myeon
Samseong-myeon is a rural township-level administrative area within Eumseong County in North Chungcheong Province, South Korea.
-
B.
Wonnam-myeon
Wonnam-myeon is a rural township-level administrative division located within Eumseong County in North Chungcheong Province, South Korea.
-
C.
Gamgok-myeon
Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
D.
Daegwallyeong-myeon
Daegwallyeong-myeon is a mountainous township in Pyeongchang County, South Korea, known for its cold climate, winter sports facilities, and role as a key venue area for the 2018 Winter Olympics.
-
E.
Daeso-myeon
Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
- 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: Samnam-myeon Triple: [Ulju-gun, hasSubdivision, Samnam-myeon]
Generated description
Samnam-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samnam-myeon Target entity description: Samnam-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
-
A.
Samseong-myeon
Samseong-myeon is a rural township-level administrative area within Eumseong County in North Chungcheong Province, South Korea.
-
B.
Wonnam-myeon
Wonnam-myeon is a rural township-level administrative division located within Eumseong County in North Chungcheong Province, South Korea.
-
C.
Gamgok-myeon
Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
-
D.
Daegwallyeong-myeon
Daegwallyeong-myeon is a mountainous township in Pyeongchang County, South Korea, known for its cold climate, winter sports facilities, and role as a key venue area for the 2018 Winter Olympics.
-
E.
Daeso-myeon
Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3a40488190892d20ca0d60b937 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70ae438b0819086449c169e5c7e49 |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70be7d9308190b7e4e36e89c12773 |
completed | March 27, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c618a2c819097e0cfd869bf99b7 |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 1:52 p.m.