Triple

T22834352
Position Surface form Disambiguated ID Type / Status
Subject Pacanów E565900 entity
Predicate hasRoadConnection P385 FINISHED
Object national road 73 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: national road 73 | Statement: [Pacanów, hasRoadConnection, national road 73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: national road 73
Context triple: [Pacanów, hasRoadConnection, national road 73]
  • A. national road 73 chosen
    National road 73 is a major Polish roadway that connects several towns and cities in southern Poland, facilitating regional transport and access.
  • B. National road 73
    National road 73 is a major Swedish highway connecting Stockholm with the coastal city of Nynäshamn in Stockholm County.
  • C. national road 79
    National road 79 is a major Polish roadway that connects several important cities and regions in southern Poland, serving as a key route for both local and transit traffic.
  • D. R733 road
    The R733 road is a regional route in County Wexford, Ireland, connecting Wexford town with the Hook Peninsula and serving several rural communities along its path.
  • E. R736 road
    The R736 road is a regional route in County Wexford, Ireland, connecting several local towns and coastal areas to the wider road network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2d830881908d69929b854aad66 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:35 p.m.