Triple
T6853265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean Social Democratic Party |
E158073
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Chondo
Chondo is the abbreviated name commonly used to refer to the Korean Social Democratic Party, a minor political party in North Korea.
|
E624048
|
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: Chondo | Statement: [Korean Social Democratic Party, hasAbbreviation, Chondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chondo Context triple: [Korean Social Democratic Party, hasAbbreviation, Chondo]
-
A.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
B.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
-
C.
Chinnaru
Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
-
D.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
E.
Kōdō
Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
- 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: Chondo Triple: [Korean Social Democratic Party, hasAbbreviation, Chondo]
Generated description
Chondo is the abbreviated name commonly used to refer to the Korean Social Democratic Party, a minor political party in North Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chondo Target entity description: Chondo is the abbreviated name commonly used to refer to the Korean Social Democratic Party, a minor political party in North Korea.
-
A.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
-
B.
Chō
Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
-
C.
Chinnaru
Chinnaru is a minor tributary river that feeds into the Noyyal River in the Indian state of Tamil Nadu.
-
D.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
E.
Kōdō
Kōdō is the Lecture Hall of the historic Tōshōdai-ji Buddhist temple in Nara, Japan, used for religious teachings and ceremonial gatherings.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84fffbc8190943ca7f3f03937e9 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fd79e508190b00e45f9cceb3e21 |
completed | March 28, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c736d6af648190b651b13726f369da |
completed | March 28, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c737d316d08190822e22ff3a41b242 |
completed | March 28, 2026, 2:07 a.m. |
Created at: March 27, 2026, 2:20 p.m.