Triple
T34712314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic Beach, South Carolina |
E1000678
|
entity |
| Predicate | bikefestAlsoKnownAs |
P95207
|
FINISHED |
| Object | Black Bike Week |
—
|
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: Black Bike Week | Statement: [Atlantic Beach, South Carolina, bikefestAlsoKnownAs, Black Bike Week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bikefestAlsoKnownAs Context triple: [Atlantic Beach, South Carolina, bikefestAlsoKnownAs, Black Bike Week]
-
A.
festivalAlsoKnownAs
chosen
Indicates that a festival is referred to by an alternative name or alias.
-
B.
sisterFestivalOf
Indicates a relationship where two festivals are formally recognized as counterparts or partners, often sharing similar themes, origins, or collaborative ties.
-
C.
isMotorSportEventIn
Indicates that a particular motorsport event takes place within a specified location or venue.
-
D.
cyclingVenue
Indicates a location or facility where cycling activities, such as training, racing, or recreational riding, take place.
-
E.
isMajorTourismEventFor
Indicates that an event is a primary or highly significant attraction for tourism in relation to a particular place or entity.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.