Triple
T22630829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rakwon Station |
E558543
|
entity |
| Predicate | isInCapitalCityNetwork |
P148997
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
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: yes | Statement: [Rakwon Station, isInCapitalCityNetwork, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCapitalCityNetwork Context triple: [Rakwon Station, isInCapitalCityNetwork, yes]
-
A.
containsCapitalOf
Indicates that one location geographically includes the city that serves as the capital of another region or entity.
-
B.
hasCapitalConnected
Indicates that there is a direct connection or linkage between an entity and its capital city.
-
C.
containsCapitalCity
Indicates that a geographic or political region includes within its boundaries the capital city associated with it.
-
D.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
-
E.
isInStateCapitalRegionOf
Indicates that one entity is located within the capital region of the state to which the other entity belongs.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17008e7648190b243c18067b4efb9 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:02 p.m.