Triple
T29013564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robot Elvex |
E737236
|
entity |
| Predicate | hasCognitiveAbility |
P9643
|
FINISHED |
| Object | self-reflection |
—
|
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: self-reflection | Statement: [Robot Elvex, hasCognitiveAbility, self-reflection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCognitiveAbility Context triple: [Robot Elvex, hasCognitiveAbility, self-reflection]
-
A.
hasCognitiveComponent
chosen
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
-
B.
hasMentalAge
Indicates that one entity possesses a cognitive or emotional development level equivalent to the typical age of another entity or age group.
-
C.
hasBrainCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to the brain.
-
D.
usesIntelligence
Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
-
E.
hasCompetence
Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 28, 2026, 9:44 a.m.