Triple
T23909167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Arena |
E601288
|
entity |
| Predicate | knownAsInKorean |
P17869
|
FINISHED |
| Object |
퍼플 아레나
퍼플 아레나(Purple Arena)는 주로 공연, 스포츠 경기, e스포츠 대회 등 다양한 대형 이벤트가 열리는 다목적 실내 경기장(또는 공연장)으로 알려져 있다.
|
E1608724
|
NE FINISHED |
How this triple was built (3 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: 퍼플 아레나 | Statement: [Purple Arena, knownAsInKorean, 퍼플 아레나]
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: 퍼플 아레나 Triple: [Purple Arena, knownAsInKorean, 퍼플 아레나]
Generated description
퍼플 아레나(Purple Arena)는 주로 공연, 스포츠 경기, e스포츠 대회 등 다양한 대형 이벤트가 열리는 다목적 실내 경기장(또는 공연장)으로 알려져 있다.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownAsInKorean Context triple: [Purple Arena, knownAsInKorean, 퍼플 아레나]
-
A.
nameInKorean
chosen
Indicates that an entity’s name is expressed in the Korean language.
-
B.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
C.
knownAsInThai
Indicates that an entity is referred to by a specific name or term in the Thai language.
-
D.
knewAs
Indicates that one entity was acquainted with or recognized another entity under a particular identity, name, or role.
-
E.
knownAsOneOf
Indicates that an entity is recognized or referred to as one member of a specified set of alternative names, labels, or identities.
- F. None of above.
Provenance (6 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce93a20c8190b1c8170d955c8d96 |
completed | April 29, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f7635085c81908522e05182cacf75 |
completed | May 21, 2026, 9:16 p.m. |
| NEDg | Description generation | batch_6a0f76f2b5248190b92095f8003001be |
completed | May 21, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f78e0aa98819093d92466b3192b1b |
completed | May 21, 2026, 9:28 p.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:37 p.m.