Triple
T18979603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haenyeo female divers |
E464383
|
entity |
| Predicate | trainingStarts |
P12530
|
FINISHED |
| Object | in childhood |
—
|
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: in childhood | Statement: [Haenyeo female divers, trainingStarts, in childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingStarts Context triple: [Haenyeo female divers, trainingStarts, in childhood]
-
A.
trainingStartState
Indicates the initial condition or status of an entity at the moment a training process begins.
-
B.
trainingUnder
Indicates that one entity is receiving instruction, guidance, or mentorship from another, typically in a subordinate or apprentice-like capacity.
-
C.
startsAt
chosen
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
D.
instructionBegan
Indicates that an instructional process or teaching activity has started.
-
E.
startingTackle
Indicates that an entity holds the primary (starting) role at the tackle position in a lineup or formation.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65b573881908575e61a62b70787 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.