Triple
T6089057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RUVNN |
E135713
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Vanino |
E25214
|
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: Vanino | Statement: [RUVNN, shortName, Vanino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanino Context triple: [RUVNN, shortName, Vanino]
-
A.
Vanino
chosen
Vanino is a key port town in Russia’s Far East that serves as an important hub for maritime trade and transport in the region.
-
B.
Togliatti
Togliatti is a major industrial city in Russia best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
-
C.
del Vasto
Del Vasto is an Italian surname historically associated with the noble family of Adelaide del Vasto, a prominent medieval countess and regent in Sicily.
-
D.
Mozdok
Mozdok is a town in the Republic of North Ossetia–Alania in southwestern Russia, known historically as a strategic military and trading outpost in the North Caucasus region.
-
E.
San Savino
San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12531d764819083e1bb37d8c81a6c |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.