Triple
T29820164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurban Said |
E757222
|
entity |
| Predicate | workLiteraryStatus |
P168787
|
FINISHED |
| Object | classic of Azerbaijani literature |
—
|
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: classic of Azerbaijani literature | Statement: [Kurban Said, workLiteraryStatus, classic of Azerbaijani literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLiteraryStatus Context triple: [Kurban Said, workLiteraryStatus, classic of Azerbaijani literature]
-
A.
writingsStatus
Indicates the status or condition of a set of writings (e.g., whether they are drafted, reviewed, published, or otherwise processed) in relation to an entity.
-
B.
depictsLiteraryStatus
Indicates that something visually represents or conveys the literary status, role, or standing of an entity within a literary context.
-
C.
traditionalWritingStatus
Indicates the status or condition of something with respect to its use of traditional writing forms or scripts.
-
D.
storyStatus
Indicates the current state or phase of a story within its lifecycle (e.g., planned, in progress, completed, or archived).
-
E.
writingSectionStatus
Indicates the current state or progress of a specific writing section within a larger document or workflow.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 5:28 p.m.