Triple
T15429738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Gold and Silver |
E369605
|
entity |
| Predicate | introducedNewPokémonCount |
P118744
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [Pokémon Gold and Silver, introducedNewPokémonCount, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedNewPokémonCount Context triple: [Pokémon Gold and Silver, introducedNewPokémonCount, 100]
-
A.
isStarterPokémonIn
Indicates that a Pokémon serves as a starter Pokémon within a specified game, region, or context.
-
B.
EliteEightAppearances
Indicates that an entity (typically a sports team) has reached the quarterfinal round, known as the Elite Eight, in an NCAA tournament.
-
C.
introducedAsTrainer
Indicates that one entity is presented or identified to another entity in the role of a trainer.
-
D.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
E.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:21 a.m.