Triple

T4365785
Position Surface form Disambiguated ID Type / Status
Subject Port of Drammen E98767 entity
Predicate hasTransportLink P1298 FINISHED
Object motorway E134 E95620 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: motorway E134 | Statement: [Port of Drammen, hasTransportLink, motorway E134]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: motorway E134
Context triple: [Port of Drammen, hasTransportLink, motorway E134]
  • A. European route E134 chosen
    European route E134 is a major east–west highway in Norway that connects the Oslo region with the west coast across mountainous terrain.
  • B. N14 highway
    The N14 highway is a major South African national route connecting Pretoria and Johannesburg with the North West and Northern Cape provinces.
  • C. European route E14
    European route E14 is a trans-European road connecting Trondheim in Norway to Sundsvall in Sweden, forming part of the international E-road network across Scandinavia.
  • D. A14 motorway
    The A14 motorway is a major Italian highway running along the Adriatic coast, connecting Bologna with Taranto and serving numerous coastal cities including Pescara.
  • E. A104 motorway
    The A104 motorway, also known as the Francilienne, is a major ring-road segment around the Île-de-France region near Paris, helping to divert traffic away from the city center.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcbbd1881908eb9f0ea6b2fe16b completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.