Triple

T19547953
Position Surface form Disambiguated ID Type / Status
Subject Ziz Valley E489123 entity
Predicate accessRoute P1985 FINISHED
Object N13 road NE NERFINISHED

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: N13 road | Statement: [Ziz Valley, accessRoute, N13 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N13 road
Context triple: [Ziz Valley, accessRoute, N13 road]
  • A. N13 road
    The N13 road is a major national highway in northwestern France that connects key towns in Normandy and serves as an important route between Caen and Cherbourg.
  • B. N137 road
    The N137 road is a national route in Ireland that connects local towns and links with other major roads within the country's regional road network.
  • C. 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.
  • D. N17 road
    The N17 road is a national primary route in western Ireland that connects several key towns between County Sligo and County Galway.
  • E. N15 road
    The N15 road is a major Dutch roadway in the port area of Rotterdam that connects key industrial zones and links to the national motorway network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2e5e588190ac3a6f612d4fb54b completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.