Triple
T10710440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goryacheva |
E252518
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Goriacheva |
E880558
|
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: Goriacheva | Statement: [Goryacheva, hasTransliteration, Goriacheva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goriacheva Context triple: [Goryacheva, hasTransliteration, Goriacheva]
-
A.
Gorjacheva
chosen
Gorjacheva is a transliterated Russian surname, typically borne by women and derived from the masculine form Goryachev.
-
B.
Tarasova
Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
-
C.
Volkova
Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
-
D.
Paveletskaya
Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
-
E.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe515b1081909532a20b61ff6cf0 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd9cef8a48190a0ec4a27d5702e73 |
completed | April 12, 2026, 5:43 p.m. |
Created at: April 8, 2026, 9:13 p.m.