Triple
T2080035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea Standard Time |
E45216
|
entity |
| Predicate | typicalCity |
P3207
|
FINISHED |
| Object | Seoul |
E19209
|
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: Seoul | Statement: [Korea Standard Time, typicalCity, Seoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seoul Context triple: [Korea Standard Time, typicalCity, Seoul]
-
A.
Seoul
chosen
Seoul is the capital and largest metropolis of South Korea, known as a major global center for technology, culture, and finance.
-
B.
Incheon
Incheon is a major port city in northwestern South Korea, known for its international airport and role as a key transportation and economic hub.
-
C.
Daejeon
Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
-
D.
Daegu
Daegu is a major metropolitan city in southeastern South Korea known for its textile industry, electronics manufacturing, and cultural festivals.
-
E.
Gwangju
Gwangju is a major metropolitan city in southwestern South Korea known for its rich cultural heritage and pivotal role in the country’s pro-democracy movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCity Context triple: [Korea Standard Time, typicalCity, Seoul]
-
A.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
-
B.
city2
chosen
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
C.
city1
Indicates that the subject is classified as a city.
-
D.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
E.
otherMajorCity
Indicates that one city is another major city associated with or comparable in importance or status to the first city.
- F. None of above.
Provenance (4 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba345be48190a1895f388e7749e5 |
completed | March 7, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6251b848190911748bd72b3dc25 |
completed | March 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.