Triple
T27078891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sungkyunkwan University |
E685539
|
entity |
| Predicate | Seoul CampusLocatedIn |
P54224
|
FINISHED |
| Object | Jongno-gu, Seoul |
—
|
NE NERFINISHED |
How this triple was built (2 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: Jongno-gu, Seoul | Statement: [Sungkyunkwan University, Seoul CampusLocatedIn, Jongno-gu, Seoul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Seoul CampusLocatedIn Context triple: [Sungkyunkwan University, Seoul CampusLocatedIn, Jongno-gu, Seoul]
-
A.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
hasCampusCity
chosen
Indicates that an educational institution or campus is located in a particular city.
-
D.
areLocatedAt
Indicates that one or more entities occupy or exist at a specific location or place.
-
E.
internationalCampusLocation
Indicates that an educational institution has a campus located in a country different from its primary or home country.
- F. None of above.
Provenance (3 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6231822ac8190887ebcb3b6d86d2b |
completed | May 2, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:33 a.m.