Triple

T16565604
Position Surface form Disambiguated ID Type / Status
Subject Nelson Airport E402451 entity
Predicate servesCity P82 FINISHED
Object Nelson E136917 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: Nelson | Statement: [Nelson Airport, servesCity, Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelson
Context triple: [Nelson Airport, servesCity, Nelson]
  • A. Nelson
    Nelson is a masculine given name of English origin that has been borne by various notable figures in politics, sports, and the arts.
  • B. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • C. Nelson
    Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
  • D. Nelson chosen
    Nelson is a coastal city at the top of New Zealand’s South Island, known for its arts scene, sunny climate, and access to nearby national parks.
  • E. Nelson
    Nelson is an American rock band formed by twin brothers Matthew and Gunnar Nelson, known for their melodic hard rock sound and early-1990s chart success.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e357711ea481909468147375051bb4 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075925b18819084c6d476eceea5f5 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.