Triple

T6697233
Position Surface form Disambiguated ID Type / Status
Subject Wavre E152779 entity
Predicate roadServedBy P385 FINISHED
Object N4 road E556592 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: N4 road | Statement: [Wavre, roadServedBy, N4 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N4 road
Context triple: [Wavre, roadServedBy, N4 road]
  • A. N4 road chosen
    The N4 road is a major national primary route in Ireland that connects Dublin to Sligo, passing through several counties including County Longford.
  • B. N2 road
    The N2 road is a major national highway in France that serves as an important route connecting Paris to the Belgian border and passing near towns such as Mitry-Mory.
  • C. N5 road
    The N5 road is a major national primary route in Ireland that connects Dublin with the western counties, including Longford and Mayo.
  • D. N10 road
    The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
  • E. N10 road
    The N10 road is a major French national highway that runs southwest from the Paris region toward Bordeaux, serving as an important long-distance route through western France.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a4da9881908d79c410b4cff868 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7880545c4819091979008c84b3325 completed March 28, 2026, 7:49 a.m.
Created at: March 27, 2026, 2:05 p.m.