Triple
T20262936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Yellow |
E498888
|
entity |
| Predicate | numberOfGymBadges |
P139442
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Pokémon Yellow, numberOfGymBadges, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGymBadges Context triple: [Pokémon Yellow, numberOfGymBadges, 8]
-
A.
receivedBattleStars
Indicates that an entity has been awarded one or more battle stars for participation in specific military engagements or campaigns.
-
B.
hasMedalCount
Indicates the relationship between an entity and the number of medals it possesses or has been awarded.
-
C.
trophyCount
Indicates the number of trophies associated with a given entity.
-
D.
hasBadgeSystem
Indicates that an entity includes or supports a badge-based system for recognizing or tracking achievements, statuses, or milestones.
-
E.
badgeUsage
Indicates how and in what context a badge is applied, displayed, or utilized in relation to an entity or activity.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cba2748190a886ecd8316dc518 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.