Triple
T31957169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zach Mitchell |
E815936
|
entity |
| Predicate | ridesAttraction |
P173058
|
FINISHED |
| Object | Gyrosphere |
—
|
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: Gyrosphere | Statement: [Zach Mitchell, ridesAttraction, Gyrosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ridesAttraction Context triple: [Zach Mitchell, ridesAttraction, Gyrosphere]
-
A.
relatedAttraction
Indicates that one attraction is associated with or connected to another attraction in some relevant way.
-
B.
attractionType
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
C.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
D.
themeParkAttraction
Indicates that something is an attraction or ride located within a theme park.
-
E.
isAttractionFor
Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:08 a.m.