Triple

T5238816
Position Surface form Disambiguated ID Type / Status
Subject Kocaeli Province E118288 entity
Predicate crossedBy P416 FINISHED
Object D100 highway E663163 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: D100 highway | Statement: [Kocaeli Province, crossedBy, D100 highway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D100 highway
Context triple: [Kocaeli Province, crossedBy, D100 highway]
  • A. D100 highway chosen
    The D100 highway is a major east–west state road in Turkey that runs through key cities including İzmit, serving as an important intercity and regional transport route.
  • B. M10 highway
    The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
  • C. N14 highway
    The N14 highway is a major South African national route connecting Pretoria and Johannesburg with the North West and Northern Cape provinces.
  • D. M-7 highway
    The M-7 highway is a major federal road in Russia that connects Moscow with key cities in the Volga region and further toward the Ural area, serving as an important eastward transport corridor.
  • E. E6 highway
    The E6 highway is a major north–south European route running through Norway and Sweden, serving as a key arterial road for long-distance travel and freight transport.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b290b88819095bc99c234260d25 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827415f248190aa80f425c8ac3a99 completed March 28, 2026, 7:08 p.m.
Created at: March 20, 2026, 1:49 p.m.