Triple
T19169590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayshet |
E469282
|
entity |
| Predicate | hasPostalSystem |
P14969
|
FINISHED |
| Object | Russian Post |
—
|
NE NERFINISHED |
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: Russian Post | Statement: [Tayshet, hasPostalSystem, Russian Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russian Post Context triple: [Tayshet, hasPostalSystem, Russian Post]
-
A.
Russian Post
chosen
Russian Post is the national postal operator of Russia, providing mail delivery, logistics, and financial services across the country and internationally.
-
B.
Russian Five
The Russian Five was a famed group of Soviet-born players on the Detroit Red Wings in the 1990s whose skillful, puck-possession style helped revolutionize NHL play and lead the team to multiple Stanley Cup championships.
-
C.
Fedoskino
Fedoskino is a Russian village renowned as one of the oldest centers of traditional lacquer miniature painting on papier-mâché.
-
D.
The Russian
The Russian is a thriller novel in James Patterson and James O. Born’s Michael Bennett series, in which the NYPD detective hunts a brutal serial killer targeting women across multiple cities.
-
E.
Russia-1
Russia-1 is a leading Russian state-owned television channel known for its nationwide reach and pro-government news and entertainment programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f162ac648190a5f60c6a77b68304 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.