Triple
T16225839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medusa Steel Coaster |
E393841
|
entity |
| Predicate | originalWoodOpeningYear |
P122234
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Medusa Steel Coaster, originalWoodOpeningYear, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWoodOpeningYear Context triple: [Medusa Steel Coaster, originalWoodOpeningYear, 2000]
-
A.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
B.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
-
C.
originalPlannedOpeningYear
Indicates the year that was initially scheduled or intended for something to open, before any delays or changes.
-
D.
originYear
Indicates the year in which something first originated, was created, or began.
-
E.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d25f8bc81909aa59b794a528db2 |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.