Triple
T15795383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ნიკო ფიროსმანი |
E382963
|
entity |
| Predicate | artwork |
P45579
|
FINISHED |
| Object |
„შავი ლომი“
„შავი ლომი“ არის ნიკო ფიროსმანაშვილის ექსპრესიული, ნაივური სტილის ნამუშევარი, რომელიც სიმბოლურ-ფანტასტიკური ლომის გამოსახულებით გამოირჩევა.
|
E1176686
|
NE FINISHED |
How this triple was built (4 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: „შავი ლომი“ | Statement: [ნიკო ფიროსმანი, artwork, „შავი ლომი“]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: „შავი ლომი“ Context triple: [ნიკო ფიროსმანი, artwork, „შავი ლომი“]
-
A.
Lom
Lom is a mountainous municipality in Innlandet county, Norway, known for its historic stave church and as a gateway to the Jotunheimen National Park.
-
B.
Lom
Lom is a port city on the Danube River in northwestern Bulgaria, known as an important regional transport and trade hub.
-
C.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
-
D.
Lolovoli
Lolovoli is an indigenous language spoken on the island of Ambae in Vanuatu.
-
E.
Laimosemion
Laimosemion is a genus of small, brightly colored Neotropical killifishes commonly found in freshwater habitats of northern South America.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: „შავი ლომი“ Triple: [ნიკო ფიროსმანი, artwork, „შავი ლომი“]
Generated description
„შავი ლომი“ არის ნიკო ფიროსმანაშვილის ექსპრესიული, ნაივური სტილის ნამუშევარი, რომელიც სიმბოლურ-ფანტასტიკური ლომის გამოსახულებით გამოირჩევა.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: „შავი ლომი“ Target entity description: „შავი ლომი“ არის ნიკო ფიროსმანაშვილის ექსპრესიული, ნაივური სტილის ნამუშევარი, რომელიც სიმბოლურ-ფანტასტიკური ლომის გამოსახულებით გამოირჩევა.
-
A.
Lom
Lom is a mountainous municipality in Innlandet county, Norway, known for its historic stave church and as a gateway to the Jotunheimen National Park.
-
B.
Lom
Lom is a port city on the Danube River in northwestern Bulgaria, known as an important regional transport and trade hub.
-
C.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
-
D.
Lolovoli
Lolovoli is an indigenous language spoken on the island of Ambae in Vanuatu.
-
E.
Laimosemion
Laimosemion is a genus of small, brightly colored Neotropical killifishes commonly found in freshwater habitats of northern South America.
- F. None of above. chosen
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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90aea81c8190ad8bc0cdedf4b77a |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93b24828819092841bc02059995d |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9435b800819093985b293a541e46 |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.