Triple
T10793067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vsevolod |
E254630
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Seva |
E878101
|
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: Seva | Statement: [Vsevolod, shortForm, Seva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seva Context triple: [Vsevolod, shortForm, Seva]
-
A.
Seva
chosen
Seva is a small municipality in the comarca of Osona in the province of Barcelona, Catalonia, Spain.
-
B.
Seva Dal
Seva Dal is the grassroots volunteer organization of the Indian National Congress, known for its role in political mobilization, civic engagement, and party training activities across India.
-
C.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
D.
Savitrī
Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
-
E.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f7ad408190af4727dd9d459498 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de564748ac8190beaaea44bb2d95ed |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.