Triple
T20193437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charizard |
E493024
|
entity |
| Predicate | starterAssociation |
P2830
|
FINISHED |
| Object | Charmander line from Kanto starters |
—
|
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: Charmander line from Kanto starters | Statement: [Charizard, starterAssociation, Charmander line from Kanto starters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starterAssociation Context triple: [Charizard, starterAssociation, Charmander line from Kanto starters]
-
A.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
sponsorAssociatedWith
Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting another entity.
-
C.
antAssociation
Indicates a relationship in which one entity is associated or interacts in a specific, notable way with ants.
-
D.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
E.
reasonForAssociation
Indicates that one entity is associated with another due to a specific cause, purpose, or motivating factor underlying their relationship.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.