Triple
T11849574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnetic Hill |
E281871
|
entity |
| Predicate | hasExperienceDuration |
P22183
|
FINISHED |
| Object | short drive-through experience |
—
|
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: short drive-through experience | Statement: [Magnetic Hill, hasExperienceDuration, short drive-through experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExperienceDuration Context triple: [Magnetic Hill, hasExperienceDuration, short drive-through experience]
-
A.
typeOfExperience
chosen
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
B.
hasGlobalExperience
Indicates that an entity possesses experience gained from working, operating, or engaging across multiple countries or international contexts.
-
C.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
-
D.
hasTimePeriodOfService
Indicates that an entity is associated with a specific span of time during which it provided service or was actively serving.
-
E.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65db52c8190a218736da17d0153 |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.