Triple

T14004571
Position Surface form Disambiguated ID Type / Status
Subject N2 road E336912 entity
Predicate hasJunctionWith P1018 FINISHED
Object N44 road E981063 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: N44 road | Statement: [N2 road, hasJunctionWith, N44 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N44 road
Context triple: [N2 road, hasJunctionWith, N44 road]
  • A. N44 road chosen
    The N44 road is a major Dutch roadway in the western Netherlands that connects The Hague with the A44 motorway toward Leiden and Amsterdam.
  • B. N445 road
    The N445 road is a regional Dutch roadway that serves as a key connector for the town of Roelofarendsveen to the surrounding transport network.
  • C. N443 road
    The N443 road is a numbered regional route in Ireland that connects local areas and links with other national secondary roads.
  • D. N446 road
    The N446 road is a regional Dutch roadway in South Holland that connects the village of Leimuiden with nearby towns and the surrounding road network.
  • E. N14 road
    The N14 road is a major national highway in northern France that connects Paris to Rouen and serves as an important route through the Vexin region.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed1d2548190bb46d6b7cba4ffde completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb652305c81908ea097d4f36a05c0 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:19 p.m.