Triple
T29008744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Minister of Artsakh |
E736504
|
entity |
| Predicate | statusAfter2023Events |
P192768
|
FINISHED |
| Object | affected by dissolution of Artsakh institutions announced for 2024 |
—
|
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: affected by dissolution of Artsakh institutions announced for 2024 | Statement: [State Minister of Artsakh, statusAfter2023Events, affected by dissolution of Artsakh institutions announced for 2024]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter2023Events Context triple: [State Minister of Artsakh, statusAfter2023Events, affected by dissolution of Artsakh institutions announced for 2024]
-
A.
statusAfter2019
Indicates the condition or state of an entity specifically in the period following the year 2019.
-
B.
statusAfter2020
Indicates the condition or state of an entity as it exists after the year 2020.
-
C.
statusAfter2018
Indicates the condition or state of something specifically during the period after the year 2018.
-
D.
statusAfter2013
Indicates the condition or state of an entity specifically in the period following the year 2013.
-
E.
statusAfter2017
Indicates the status or condition an entity has specifically after the year 2017.
- 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 28, 2026, 9:40 a.m.