Triple
T17149105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingda Ka |
E416171
|
entity |
| Predicate | recordSince |
P6054
|
FINISHED |
| Object | 2005 for tallest roller coaster in the world |
—
|
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: 2005 for tallest roller coaster in the world | Statement: [Kingda Ka, recordSince, 2005 for tallest roller coaster in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordSince Context triple: [Kingda Ka, recordSince, 2005 for tallest roller coaster in the world]
-
A.
knownSince
Indicates the point in time from which one entity has been aware of, acquainted with, or in possession of knowledge about another entity.
-
B.
historicallyRecordedSince
chosen
Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
-
C.
representedSince
Indicates that one entity has been acting as a representative or agent for another entity continuously from a specified starting time.
-
D.
coveredSince
Indicates that one entity has been under the protection, applicability, or effect of another entity continuously starting from a specified point in time.
-
E.
recordedOnDate
Indicates the specific calendar date on which an event, action, or piece of information was formally recorded.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4059d90819092d3609326fa3130 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.