Triple

T11110252
Position Surface form Disambiguated ID Type / Status
Subject Pepinster E262735 entity
Predicate roadAccessVia P9041 FINISHED
Object N61 road E641495 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: N61 road | Statement: [Pepinster, roadAccessVia, N61 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N61 road
Context triple: [Pepinster, roadAccessVia, N61 road]
  • A. N61 road chosen
    The N61 road is a national secondary route in Ireland that runs through the Midlands and west of the country, linking towns such as Athlone and Roscommon.
  • B. N618 road
    The N618 road is a regional roadway in Belgium that serves as a local connector route in and around the city of Visé.
  • C. N63 road
    The N63 road is a national secondary route in Ireland that runs across the Midlands, linking Longford to Galway and connecting several key towns along the way.
  • D. N65 road
    The N65 road is a major Dutch highway in the province of North Brabant that connects the cities of Vught and Tilburg and serves several towns in between.
  • E. N6 road
    The N6 road is a major French national highway that historically linked Paris to the southeastern regions of France, passing through cities such as Auxerre.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462e5c08c8190bba2e3c8ec82051b completed April 19, 2026, 5:06 a.m.
Created at: April 8, 2026, 9:27 p.m.