Triple
T20045392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pichu |
E497543
|
entity |
| Predicate | catchRate |
P138496
|
FINISHED |
| Object | 190 |
—
|
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: 190 | Statement: [Pichu, catchRate, 190]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catchRate Context triple: [Pichu, catchRate, 190]
-
A.
successRate
Indicates the proportion or frequency with which attempts at a given action or process result in a successful outcome.
-
B.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
-
C.
captivePopulation
Indicates that the entities are part of a population kept in captivity, such as in zoos, aquariums, or breeding facilities, rather than living in the wild.
-
D.
canBeTamedWith
Indicates that an entity can be domesticated, controlled, or made docile through the use of a specified tool, method, or resource.
-
E.
reproductionRate
Indicates the frequency or speed at which an entity produces new offspring or copies of itself over a given time or condition.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:37 p.m.