Triple
T24691843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudogwon |
E611458
|
entity |
| Predicate | hasLandmarkCity |
P156994
|
FINISHED |
| Object | Gangnam District |
—
|
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: Gangnam District | Statement: [Sudogwon, hasLandmarkCity, Gangnam District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandmarkCity Context triple: [Sudogwon, hasLandmarkCity, Gangnam District]
-
A.
hasFamousCity
Indicates that an entity possesses or is associated with a city that is widely recognized or renowned.
-
B.
primaryCityLandmarkOf
Indicates that a landmark is a principal or defining landmark associated with a specific city.
-
C.
cityRegisteredLandmark
Indicates that a city has officially registered a particular landmark within its jurisdiction.
-
D.
containsCapitalCity
Indicates that a geographic or political region includes within its boundaries the capital city associated with it.
-
E.
hasLandmarkProperty
Indicates that something possesses a notable or defining landmark-related characteristic or feature.
- F. None of above. chosen
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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:20 a.m.