Triple
T23216851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eunpyeong-gu |
E580767
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Yeonsinnae
Yeonsinnae is a bustling commercial and residential neighborhood in northwestern Seoul, known for its lively streets, markets, and convenient subway connections.
|
E1573186
|
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: Yeonsinnae | Statement: [Eunpyeong-gu, hasNeighborhood, Yeonsinnae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeonsinnae Context triple: [Eunpyeong-gu, hasNeighborhood, Yeonsinnae]
-
A.
Yeon
Yeon is the given name of King Seonjo, a Joseon dynasty monarch who ruled Korea during the late 16th century, including the period of the Japanese invasions.
-
B.
Ungnyeo
Ungnyeo is a bear from Korean mythology who, after enduring a divine trial and transforming into a woman, became the ancestral mother of the Korean nation.
-
C.
Yeomna
Yeomna is the Korean deity of the underworld, serving as the judge of the dead who determines the fate of souls in the afterlife.
-
D.
Munjeong
Munjeong is a neighborhood in Seoul’s Songpa District known for its large outlet shopping area and modern residential developments.
-
E.
Namhae
Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
- 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: Yeonsinnae Triple: [Eunpyeong-gu, hasNeighborhood, Yeonsinnae]
Generated description
Yeonsinnae is a bustling commercial and residential neighborhood in northwestern Seoul, known for its lively streets, markets, and convenient subway connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeonsinnae Target entity description: Yeonsinnae is a bustling commercial and residential neighborhood in northwestern Seoul, known for its lively streets, markets, and convenient subway connections.
-
A.
Yeon
Yeon is the given name of King Seonjo, a Joseon dynasty monarch who ruled Korea during the late 16th century, including the period of the Japanese invasions.
-
B.
Ungnyeo
Ungnyeo is a bear from Korean mythology who, after enduring a divine trial and transforming into a woman, became the ancestral mother of the Korean nation.
-
C.
Yeomna
Yeomna is the Korean deity of the underworld, serving as the judge of the dead who determines the fate of souls in the afterlife.
-
D.
Munjeong
Munjeong is a neighborhood in Seoul’s Songpa District known for its large outlet shopping area and modern residential developments.
-
E.
Namhae
Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
- 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_69f19165949c81908e4d66a8a2b0a25a |
completed | April 29, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30ca89508190847874ab3bc1e01f |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c31f385a881908283a8b079c4128a |
completed | May 19, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32ece3148190a22881d69c42e948 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4:08 p.m.