Triple

T5151942
Position Surface form Disambiguated ID Type / Status
Subject Urgench E116214 entity
Predicate hasRailwayStation P918 FINISHED
Object Urgench railway station E116214 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: Urgench railway station | Statement: [Urgench, hasRailwayStation, Urgench railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urgench railway station
Context triple: [Urgench, hasRailwayStation, Urgench railway station]
  • A. Tashkent railway station
    Tashkent railway station is the main rail hub of Uzbekistan’s capital, serving as a key junction for domestic and international train services across Central Asia.
  • B. Karaganda railway station
    Karaganda railway station is a major rail transport hub in Karaganda, Kazakhstan, handling regional and long-distance passenger and freight services.
  • C. Urgench chosen
    Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
  • D. Buynaksk
    Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
  • E. Grozny railway station
    Grozny railway station is the main passenger rail terminal serving the city of Grozny, the capital of Russia’s Chechen Republic.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d965548190b09f574acf3b9b1a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0099afc8190badca81bd5efb8f6 completed March 21, 2026, 5:06 p.m.
Created at: March 20, 2026, 1:44 p.m.