Triple
T23379005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moken |
E593684
|
entity |
| Predicate | childhoodActivity |
P8834
|
FINISHED |
| Object | frequent free-diving |
—
|
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: frequent free-diving | Statement: [Moken, childhoodActivity, frequent free-diving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childhoodActivity Context triple: [Moken, childhoodActivity, frequent free-diving]
-
A.
childhoodAssociation
Indicates a relationship where two entities are connected through shared experiences, interactions, or familiarity originating from their childhood period.
-
B.
childOccupation
Indicates that a person’s child holds or performs a particular occupation or job.
-
C.
childIn
Indicates that one entity is the offspring or direct descendant of another entity.
-
D.
activityType
chosen
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
E.
childDuring
Indicates that one entity is the child of another specifically during a given time interval or temporal context.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b5e4f0819081a5d4586796677b |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:33 p.m.