Triple
T17017519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeouido Park |
E412860
|
entity |
| Predicate | hasJoggingTrack |
P29464
|
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: [Yeouido Park, hasJoggingTrack, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJoggingTrack Context triple: [Yeouido Park, hasJoggingTrack, yes]
-
A.
hasStreetRunningTracks
chosen
Indicates that a location or area includes street-level tracks used for running or jogging.
-
B.
hasIndoorTrack
Indicates that a place or facility includes an indoor track as one of its features or amenities.
-
C.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
D.
hasRecreationalRoute
Indicates that an entity is associated with or includes a route intended for recreational activities such as walking, cycling, or hiking.
-
E.
runningDiscipline
Indicates a relationship where an entity participates in or is associated with running as a sport or athletic discipline.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.