Triple

T10085474
Position Surface form Disambiguated ID Type / Status
Subject Orsha E215208 entity
Predicate roadConnection P385 FINISHED
Object M1 highway E499235 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: M1 highway | Statement: [Orsha, roadConnection, M1 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M1 highway
Context triple: [Orsha, roadConnection, M1 highway]
  • A. M1 highway
    The M1 highway is a major road in Syria that serves as a key transportation route linking the coastal city of Latakia with other important regions of the country.
  • B. M1 highway chosen
    The M1 highway is a major international road in Eastern Europe that connects Moscow with the Belarusian border and forms part of the route toward Western Europe.
  • C. M1 freeway
    The M1 freeway is a major Australian highway corridor that connects central Melbourne with key western suburbs and regional centers, serving as a critical route for commuter and freight traffic.
  • D. M1 freeway
    The M1 freeway is a major north–south highway in Johannesburg, South Africa, forming part of the city’s primary arterial road network.
  • E. MR3 highway
    The MR3 highway is a major roadway in Eswatini that serves as a key transport corridor connecting the capital, Mbabane, with other important regions of the country.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04609748190987a9364a387fa61 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbd822a08190841e51862e5e1e27 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 9 p.m.