Triple
T1104397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangul |
E25453
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
|
E127495
|
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: Joseongeul | Statement: [Hangul, alsoKnownAs, Joseongeul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseongeul Context triple: [Hangul, alsoKnownAs, Joseongeul]
-
A.
Deoksugung
Deoksugung is a historic royal palace complex in central Seoul known for its blend of traditional Korean and Western-style architecture and its stone-wall road.
-
B.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
C.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
D.
Gyeonghuigung
Gyeonghuigung is a historic Joseon Dynasty royal palace in central Seoul, known as one of the city's "Five Grand Palaces."
-
E.
Changgyeonggung
Changgyeonggung is a historic Joseon Dynasty royal palace in central Seoul, known for its traditional Korean architecture, gardens, and role as a former residence of kings and queens.
- 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: Joseongeul Triple: [Hangul, alsoKnownAs, Joseongeul]
Generated description
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseongeul Target entity description: Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
A.
Deoksugung
Deoksugung is a historic royal palace complex in central Seoul known for its blend of traditional Korean and Western-style architecture and its stone-wall road.
-
B.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
-
C.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
D.
Gyeonghuigung
Gyeonghuigung is a historic Joseon Dynasty royal palace in central Seoul, known as one of the city's "Five Grand Palaces."
-
E.
Changgyeonggung
Changgyeonggung is a historic Joseon Dynasty royal palace in central Seoul, known for its traditional Korean architecture, gardens, and role as a former residence of kings and queens.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5391a4a88190b7ef6993b2b85b08 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac542bac488190b7d6c2ed9a919779 |
completed | March 7, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac54971fc88190b009a05180f10cf5 |
completed | March 7, 2026, 4:38 p.m. |
Created at: March 1, 2026, 7:43 p.m.