Triple
T12211393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarov |
E290967
|
entity |
| Predicate | hasReligiousSite |
P916
|
FINISHED |
| Object | Sarov Hermitage |
E969443
|
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: Sarov Hermitage | Statement: [Sarov, hasReligiousSite, Sarov Hermitage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarov Hermitage Context triple: [Sarov, hasReligiousSite, Sarov Hermitage]
-
A.
Sarov
Sarov is a closed Russian city in Nizhny Novgorod Oblast known as a major center for nuclear research and weapons development.
-
B.
Obninsk
Obninsk is a Russian city best known as the site of the world’s first grid-connected nuclear power plant and an important center for nuclear and scientific research.
-
C.
Sarov Monastery
chosen
Sarov Monastery is a historic Russian Orthodox monastic complex best known as the spiritual home of St. Seraphim of Sarov and an important center of pilgrimage and religious life in Russia.
-
D.
Dubna
Dubna is a Russian town in the Moscow Oblast best known as a major center for nuclear research and home to the Joint Institute for Nuclear Research.
-
E.
Akademgorodok
Akademgorodok is a renowned scientific and educational center in Novosibirsk, Russia, known for its concentration of research institutes, universities, and high-tech innovation.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5666f48190a28eed761e7b9210 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.