Triple

T20368537
Position Surface form Disambiguated ID Type / Status
Subject Bulgarian rail network E496982 entity
Predicate hasHub P2413 FINISHED
Object Sofia Central Station 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: Sofia Central Station | Statement: [Bulgarian rail network, hasHub, Sofia Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofia Central Station
Context triple: [Bulgarian rail network, hasHub, Sofia Central Station]
  • A. Sofia Central Station chosen
    Sofia Central Station is the main railway hub in Bulgaria’s capital city, serving as a key national and international transport gateway.
  • B. Alexandrov railway station
    Alexandrov railway station is a major railway hub in the town of Alexandrov, Russia, serving regional and long-distance passenger traffic on routes northeast of Moscow.
  • C. St. Kliment Ohridski Station
    St. Kliment Ohridski Station is a Bulgarian research base in Antarctica used for scientific studies and exploration.
  • D. Samara Railway Station
    Samara Railway Station is a major transport hub and architecturally prominent railway terminal in the Russian city of Samara.
  • E. Monastiraki station
    Monastiraki station is a central Athens Metro hub located in the historic Monastiraki district, serving as a key interchange point near major archaeological and tourist sites.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.