Triple
T26712965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paruyr Sevak |
E673470
|
entity |
| Predicate | hasMuseum |
P105
|
FINISHED |
| Object |
Paruyr Sevak House-Museum in Zangakatun
The Paruyr Sevak House-Museum in Zangakatun is a memorial museum in Armenia dedicated to preserving the life, work, and personal legacy of the renowned Armenian poet Paruyr Sevak.
|
E1739523
|
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: Paruyr Sevak House-Museum in Zangakatun | Statement: [Paruyr Sevak, hasMuseum, Paruyr Sevak House-Museum in Zangakatun]
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: Paruyr Sevak House-Museum in Zangakatun Triple: [Paruyr Sevak, hasMuseum, Paruyr Sevak House-Museum in Zangakatun]
Generated description
The Paruyr Sevak House-Museum in Zangakatun is a memorial museum in Armenia dedicated to preserving the life, work, and personal legacy of the renowned Armenian poet Paruyr Sevak.
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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617c196b48190bdd2734be9dbdc81 |
completed | May 2, 2026, 3:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11fe8cab048190b6fe67a1c1200de6 |
completed | May 23, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_6a11ff67376c8190a8a6c9fbd5e299d1 |
completed | May 23, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12001b625881908fc58ccbcbf38b78 |
completed | May 23, 2026, 7:29 p.m. |
Created at: April 27, 2026, 3:36 a.m.