Triple
T31755056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang roller coaster model |
E810534
|
entity |
| Predicate | firstInstallationsDecade |
P64020
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Boomerang roller coaster model, firstInstallationsDecade, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInstallationsDecade Context triple: [Boomerang roller coaster model, firstInstallationsDecade, 1980s]
-
A.
initialDeploymentDecade
chosen
Indicates the decade during which something was first deployed or put into initial operational use.
-
B.
firstPresentedDecade
Indicates the decade during which something was first presented or introduced.
-
C.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
D.
establishedInDecade
Indicates that an entity was founded, created, or came into existence during a specific decade.
-
E.
adoptedInDecade
Indicates that an entity was adopted or formally taken up during a specific ten-year time period (decade).
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:29 p.m.