Triple
T5080481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikachu |
E114497
|
entity |
| Predicate | evolutionMethodFromPichu |
P61163
|
FINISHED |
| Object | high friendship |
—
|
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: high friendship | Statement: [Pikachu, evolutionMethodFromPichu, high friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evolutionMethodFromPichu Context triple: [Pikachu, evolutionMethodFromPichu, high friendship]
-
A.
evolvesAcross
Indicates a transformation or development of one entity into another across different states, stages, or contexts.
-
B.
evolvedIn
Indicates that an entity originated or developed within a specified environment, context, or location over evolutionary time.
-
C.
evolves
Indicates that one entity undergoes a process of gradual change or development into another, typically more advanced or different, state or form.
-
D.
evolutionaryPhase
Indicates the stage or period an entity is in within a broader process of gradual development or evolution.
-
E.
evolutionaryDescription
Indicates how an entity has changed, adapted, or developed over time through evolutionary processes.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.