Triple
T25442524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tahtacı |
E637543
|
entity |
| Predicate | modernOccupationTrend |
P120535
|
FINISHED |
| Object | shift from forestry to diverse urban jobs |
—
|
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: shift from forestry to diverse urban jobs | Statement: [Tahtacı, modernOccupationTrend, shift from forestry to diverse urban jobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernOccupationTrend Context triple: [Tahtacı, modernOccupationTrend, shift from forestry to diverse urban jobs]
-
A.
professionalStatusTrend
chosen
Indicates how an entity’s professional status changes or develops over time.
-
B.
latestMajorOccupation
Indicates the most recent primary job or profession held by an entity.
-
C.
latestOccupation
Indicates the most recent job, role, or position that an entity currently holds or last held.
-
D.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
E.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 2 p.m.