Triple
T23218725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaeson Street |
E580822
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Kaeson-gil
Kaeson-gil is a street in Pyongyang, North Korea, known for its central location and proximity to major city landmarks.
|
E1572154
|
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: Kaeson-gil | Statement: [Kaeson Street, hasNameInLanguage, Kaeson-gil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaeson-gil Context triple: [Kaeson Street, hasNameInLanguage, Kaeson-gil]
-
A.
Keeso
Keeso is a Canadian surname most notably associated with actor and creator Jared Keeso, known for the television series "Letterkenny."
-
B.
Kwoth
Kwoth is the supreme creator and spiritual force in the traditional religion of the Nuer people of South Sudan and Ethiopia.
-
C.
Kayso
Kayso is a Ghanaian music producer known for crafting contemporary Afrobeat and hip-hop sounds for prominent artists.
-
D.
Kadensho
Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
-
E.
Kagee
Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
- 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: Kaeson-gil Triple: [Kaeson Street, hasNameInLanguage, Kaeson-gil]
Generated description
Kaeson-gil is a street in Pyongyang, North Korea, known for its central location and proximity to major city landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaeson-gil Target entity description: Kaeson-gil is a street in Pyongyang, North Korea, known for its central location and proximity to major city landmarks.
-
A.
Keeso
Keeso is a Canadian surname most notably associated with actor and creator Jared Keeso, known for the television series "Letterkenny."
-
B.
Kwoth
Kwoth is the supreme creator and spiritual force in the traditional religion of the Nuer people of South Sudan and Ethiopia.
-
C.
Kayso
Kayso is a Ghanaian music producer known for crafting contemporary Afrobeat and hip-hop sounds for prominent artists.
-
D.
Kadensho
Kadensho is a seminal treatise on Noh theatre aesthetics and performance theory traditionally attributed to the playwright and actor Zeami Motokiyo.
-
E.
Kagee
Kagee is the former name of Chiayi City, a historic urban center in southwestern Taiwan.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191675de48190858907872a065c56 |
completed | April 29, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30cc9c0481909302d64fa58d426e |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c325a76e8819094592ccff955a9e9 |
completed | May 19, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32c9d7cc8190b3d3a173d231e430 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4:08 p.m.