Triple

T1962450
Position Surface form Disambiguated ID Type / Status
Subject Port Shepstone E42616 entity
Predicate hasTransport P1298 FINISHED
Object N2 national road E139504 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: N2 national road | Statement: [Port Shepstone, hasTransport, N2 national road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N2 national road
Context triple: [Port Shepstone, hasTransport, N2 national road]
  • A. N2 national road chosen
    The N2 national road is a major South African highway running along the coast and connecting key cities and regions, including the Eastern Cape.
  • B. N10 national road
    The N10 national road is a major South African highway that runs inland between the Eastern Cape and Northern Cape, linking coastal cities like Port Elizabeth with the interior.
  • C. N26 road
    The N26 road is a national primary route in County Mayo, Ireland, connecting the town of Ballina to the wider national road network.
  • D. National Highway N-5
    National Highway N-5 is Pakistan’s longest and most important north–south arterial road, linking major cities across the country and serving as a key route for trade and transportation.
  • E. A3 road
    The A3 road is a major trunk route in England that connects London to Portsmouth, passing through counties such as Surrey.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aae8c48190afae2cf3af2ae4e9 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.