Triple
T29008710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Minister of Artsakh |
E736504
|
entity |
| Predicate | replaces |
P101
|
FINISHED |
| Object |
Prime Minister of Artsakh
The Prime Minister of Artsakh was the former head of government of the self-proclaimed Republic of Artsakh, overseeing its executive branch before the role was replaced by the State Minister.
|
E1845179
|
NE 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: Prime Minister of Artsakh | Statement: [State Minister of Artsakh, replaces, Prime Minister of Artsakh]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Prime Minister of Artsakh Triple: [State Minister of Artsakh, replaces, Prime Minister of Artsakh]
Generated description
The Prime Minister of Artsakh was the former head of government of the self-proclaimed Republic of Artsakh, overseeing its executive branch before the role was replaced by the State Minister.
Provenance (5 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_69f65fda92188190b20bfd59902ed27d |
completed | May 2, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2505c7863481909f74b2b808801675 |
completed | June 7, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_6a250a57374481909af187554d7a82fc |
completed | June 7, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a250e35cb2c81909d7632be22680434 |
completed | June 7, 2026, 6:22 a.m. |
Created at: April 28, 2026, 9:40 a.m.