Triple
T20193483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulbasaur |
E493025
|
entity |
| Predicate | weakToType |
P139124
|
FINISHED |
| Object | Fire |
—
|
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: Fire | Statement: [Bulbasaur, weakToType, Fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weakToType Context triple: [Bulbasaur, weakToType, Fire]
-
A.
weakerThan
Indicates that one entity has less strength, power, or effectiveness than another entity.
-
B.
weakFormDefinition
Indicates that one entity is the definition or specification of another entity expressed in a weak (e.g., variational, distributional, or generalized) mathematical form rather than in its strong or classical form.
-
C.
forceTypeUnion
Indicates that multiple possible types are combined into a single union type, allowing a value or entity to conform to any one of those types.
-
D.
isWeaklyInteracting
Indicates that one entity interacts with another only through weak or minimal forces, influences, or effects, rather than through strong or direct interaction.
-
E.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
- 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_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. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.