Triple
T26284080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario Land 2: 6 Golden Coins |
E661082
|
entity |
| Predicate | finalArea |
P47075
|
FINISHED |
| Object | Wario’s Castle |
—
|
NE NERFINISHED |
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: Wario’s Castle | Statement: [Super Mario Land 2: 6 Golden Coins, finalArea, Wario’s Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalArea Context triple: [Super Mario Land 2: 6 Golden Coins, finalArea, Wario’s Castle]
-
A.
hasFinalArea
Indicates that an entity is associated with a specific area value representing its final or resulting size after some process or transformation.
-
B.
finishingArea
chosen
Indicates the location or area where an activity, process, or event comes to an end or is completed.
-
C.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
D.
finalValue
Indicates the resulting or ultimate value obtained after all relevant operations, changes, or calculations have been completed.
-
E.
fareArea
Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 26, 2026, 10:03 p.m.