Triple
T29871767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Strikers Charged |
E758609
|
entity |
| Predicate | hasRegionTitle |
P110584
|
FINISHED |
| Object | Mario Strikers Charged Football |
—
|
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: Mario Strikers Charged Football | Statement: [Mario Strikers Charged, hasRegionTitle, Mario Strikers Charged Football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionTitle Context triple: [Mario Strikers Charged, hasRegionTitle, Mario Strikers Charged Football]
-
A.
nativeTitleRegion
Indicates the region or area in which a title is considered native or originally used.
-
B.
regionalTitles
Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
-
C.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
D.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
E.
hasAlternateTitleRegion
chosen
Indicates that an entity has an alternate title that is specifically used or valid within a particular geographic region.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a002e71bdc48190b922f2d3b362d259 |
completed | May 10, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_6a002e1a28708190b65f9e657c770bab |
completed | May 10, 2026, 7:04 a.m. |
Created at: April 29, 2026, 5:54 p.m.