Triple
T15429789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Gold and Silver |
E369605
|
entity |
| Predicate | soldCopiesWorldwideApprox |
P44135
|
FINISHED |
| Object | 23 million |
—
|
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: 23 million | Statement: [Pokémon Gold and Silver, soldCopiesWorldwideApprox, 23 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldCopiesWorldwideApprox Context triple: [Pokémon Gold and Silver, soldCopiesWorldwideApprox, 23 million]
-
A.
soldCopies
chosen
Indicates that a certain number of copies of an item were sold by a seller (or in a context) to buyers.
-
B.
salesWorldwide
Indicates a relationship where an entity’s sales figures or activities are measured, reported, or occur across multiple countries or global markets.
-
C.
playedWorldwide
Indicates that something (such as a performance, event, or media content) has been presented or made available in multiple countries across the world.
-
D.
soldUntil
Indicates that the availability or sale of an item continues up to, but not beyond, a specified time or date.
-
E.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
- 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_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. |
Created at: April 10, 2026, 3:21 a.m.