Triple
T29034858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabrayil |
E737829
|
entity |
| Predicate | languageMajorityBeforeOccupation |
P196899
|
FINISHED |
| Object | Azerbaijani |
—
|
NE NERFINISHED |
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: Azerbaijani | Statement: [Jabrayil, languageMajorityBeforeOccupation, Azerbaijani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageMajorityBeforeOccupation Context triple: [Jabrayil, languageMajorityBeforeOccupation, Azerbaijani]
-
A.
latestMajorOccupation
Indicates the most recent primary job or profession held by an entity.
-
B.
dominantOccupation
Indicates the primary type of work or profession that most characterizes an entity’s economic or labor activity.
-
C.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
D.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
E.
latestOccupation
Indicates the most recent job, role, or position that an entity currently holds or last held.
- F. None of above. chosen
Provenance (4 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
| PDg | Predicate description generation | batch_69fe6e4801108190a6be6bec2d52a1b9 |
completed | May 8, 2026, 11:14 p.m. |
Created at: April 28, 2026, 9:57 a.m.