Triple
T35811934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | სომხები |
E1035253
|
entity |
| Predicate | ანბანის შემქმნელი |
P176441
|
FINISHED |
| Object |
მესროპ მაშტოცი
მესროპ მაშტოცი იყო სომეხი მეცნიერი და სასულიერო მოღვაწე, რომელმაც V საუკუნეში შექმნა სომხური დამწერლობა და საფუძველი ჩაუყარა სომხურ ლიტერატურასა და განათლებას.
|
E2157278
|
NE FINISHED |
How this triple was built (3 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: მესროპ მაშტოცი | Statement: [სომხები, ანბანის შემქმნელი, მესროპ მაშტოცი]
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: მესროპ მაშტოცი Triple: [სომხები, ანბანის შემქმნელი, მესროპ მაშტოცი]
Generated description
მესროპ მაშტოცი იყო სომეხი მეცნიერი და სასულიერო მოღვაწე, რომელმაც V საუკუნეში შექმნა სომხური დამწერლობა და საფუძველი ჩაუყარა სომხურ ლიტერატურასა და განათლებას.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ანბანის შემქმნელი Context triple: [სომხები, ანბანის შემქმნელი, მესროპ მაშტოცი]
-
A.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
-
B.
eponymousFounderOf
Indicates that a person is the namesake founder after whom an organization, place, or entity is named.
-
C.
isFoundingFigureOf
chosen
Indicates that a person played a primary, originating role in establishing or creating an organization, movement, institution, or similar entity.
-
D.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
E.
أب
Indicates that one entity is the father (male parent) of another entity.
- F. None of above.
Provenance (6 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389172f2188190a3ffbb09e20414d7 |
completed | June 22, 2026, 1:35 a.m. |
| NEDg | Description generation | batch_6a3894f263a88190a92dd121465d64ae |
completed | June 22, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a389630c7088190830da0acc8dbec62 |
completed | June 22, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.