Triple
T29034853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabrayil |
E737829
|
entity |
| Predicate | post2020Status |
P165950
|
FINISHED |
| Object | under Azerbaijani control |
—
|
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: under Azerbaijani control | Statement: [Jabrayil, post2020Status, under Azerbaijani control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: post2020Status Context triple: [Jabrayil, post2020Status, under Azerbaijani control]
-
A.
post2000Status
Indicates whether a given entity’s status, condition, or classification applies specifically to the period after the year 2000.
-
B.
post2009Status
Indicates the status or condition of an entity specifically in the period after the year 2009.
-
C.
post2020Change
Indicates a change, update, or event that occurred after the year 2020.
-
D.
post2005Status
Indicates the status or condition of an entity specifically in the period after the year 2005.
-
E.
postConstitutionStatus
Indicates the legal or political status of an entity after the adoption or coming into force of a constitution.
- 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_69f6603be0cc8190ba34acec15092a98 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:57 a.m.