Triple
T14357770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Jung-geun |
E356014
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Haeju
Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
|
E1095561
|
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: Haeju | Statement: [An Jung-geun, birthPlace, Haeju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haeju Context triple: [An Jung-geun, birthPlace, Haeju]
-
A.
Ungjin
Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
-
B.
Hajong
The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
-
C.
Hamhung
Hamhung is a major city in northeastern North Korea, known as an important industrial center and for its distinctive style of cold noodle dish, Hamhung naengmyeon.
-
D.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
E.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
- 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: Haeju Triple: [An Jung-geun, birthPlace, Haeju]
Generated description
Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haeju Target entity description: Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
-
A.
Ungjin
Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
-
B.
Hajong
The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
-
C.
Hamhung
Hamhung is a major city in northeastern North Korea, known as an important industrial center and for its distinctive style of cold noodle dish, Hamhung naengmyeon.
-
D.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
E.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c473fa48190866ab946971e971c |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4d56b67c8190bc9ecd4f444df780 |
completed | May 8, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e9a678c8190bd1821e6c43a3a1a |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.