Triple
T24699834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidewinder Safari area |
E611702
|
entity |
| Predicate | centeredOnAttraction |
P54634
|
FINISHED |
| Object | Sidewinder Safari |
—
|
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: Sidewinder Safari | Statement: [Sidewinder Safari area, centeredOnAttraction, Sidewinder Safari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centeredOnAttraction Context triple: [Sidewinder Safari area, centeredOnAttraction, Sidewinder Safari]
-
A.
attractionBasedOn
Indicates a relationship where one entity is drawn to or interested in another specifically because of certain attributes, qualities, or characteristics that the latter possesses.
-
B.
succeededByAttraction
Indicates that one attraction or point of interest is directly followed or replaced by another attraction in a sequence or timeline.
-
C.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
D.
attractedFigure
Indicates that one figure is visually or emotionally drawn toward, or finds appealing, another figure.
-
E.
centered
chosen
Indicates that one entity is positioned at or around the central point of another entity or reference frame.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:22 a.m.