Triple
T20063448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romulus Gaita |
E499543
|
entity |
| Predicate | lifeExperience |
P22109
|
FINISHED |
| Object | migration from Europe to Australia |
—
|
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: migration from Europe to Australia | Statement: [Romulus Gaita, lifeExperience, migration from Europe to Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeExperience Context triple: [Romulus Gaita, lifeExperience, migration from Europe to Australia]
-
A.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
B.
lifeExploredIn
Indicates that the concept or aspects of life are examined, depicted, or investigated within a particular medium, context, or setting.
-
C.
laterExperiences
Indicates that one event, state, or experience occurs after another in time, reflecting subsequent or later experiences relative to an earlier reference point.
-
D.
primaryExperience
Indicates that one entity is the main or most significant experience associated with another entity, as opposed to secondary or supporting experiences.
-
E.
experienceType
chosen
Indicates the specific kind or category of experience associated with an entity or event.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66377b6b48190a0a37279f285123e |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:39 p.m.