Triple
T9543073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vykhino |
E230204
|
entity |
| Predicate | renamedTo |
P3432
|
FINISHED |
| Object | Vykhino |
E230204
|
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: Vykhino | Statement: [Vykhino, renamedTo, Vykhino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vykhino Context triple: [Vykhino, renamedTo, Vykhino]
-
A.
Vykhino
chosen
Vykhino is a Moscow Metro station serving the Tagansko–Krasnopresnenskaya Line in the southeastern part of the city.
-
B.
Ust-Dzheguta
Ust-Dzheguta is a town in the Karachay-Cherkess Republic of southwestern Russia, situated in the North Caucasus region.
-
C.
Verkhnyaya Tura
Verkhnyaya Tura is a small industrial town in Russia’s Ural region, located within Sverdlovsk Oblast and historically associated with metallurgy and mining.
-
D.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
E.
Lovozero Massif
Lovozero Massif is a large, geologically unique alkaline igneous complex in Russia renowned for its rare mineral deposits and distinctive ring-shaped structure.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e9be048190bf1f01884ff7c362 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.