Triple
T4610643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans-Siberian Railway |
E100545
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Yekaterinburg |
E38566
|
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: Yekaterinburg | Statement: [Trans-Siberian Railway, passesThrough, Yekaterinburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yekaterinburg Context triple: [Trans-Siberian Railway, passesThrough, Yekaterinburg]
-
A.
Yekaterinburg
chosen
Yekaterinburg is a major industrial and cultural city in Russia’s Ural region, historically known as the site of the execution of the last Russian tsar, Nicholas II, and his family.
-
B.
Chelyabinsk
Chelyabinsk is a large industrial city in west-central Russia, located just east of the Ural Mountains and known as a major regional economic and transportation hub.
-
C.
Omsk
Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
-
D.
Novosibirsk
Novosibirsk is a major city in southwestern Siberia and the third-largest city in Russia, known as an important industrial, scientific, and cultural center.
-
E.
Kirovabad
Kirovabad was the Soviet-era name of the Azerbaijani city now known as Ganja, an important industrial and cultural center in western Azerbaijan.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59be3300819095e548b488c8f75e |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe31f64c88190b093e2bd65ae731b |
completed | March 22, 2026, 12:39 p.m. |
Created at: March 20, 2026, 1:12 p.m.