Triple
T1020351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jurassic World VelociCoaster |
E22024
|
entity |
| Predicate | launchCount |
P7191
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Jurassic World VelociCoaster, launchCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchCount Context triple: [Jurassic World VelociCoaster, launchCount, 2]
-
A.
totalLaunches
chosen
Indicates the total number of times a particular entity has been launched or initiated.
-
B.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
-
C.
successfulLaunches
Indicates that one entity has carried out one or more launches that achieved their intended objectives without failure.
-
D.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
-
E.
numberOfExecutions
Indicates the count of times a particular action, process, or event has been carried out.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dd76b081909ed4d2f7adb6480d |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.