Triple

T15950983
Position Surface form Disambiguated ID Type / Status
Subject Core Contents Media E386816 entity
Predicate managedAct P25513 FINISHED
Object Shannon unclear NED1 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: Shannon | Statement: [Core Contents Media, managedAct, Shannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shannon
Context triple: [Core Contents Media, managedAct, Shannon]
  • A. Shannon
    Shannon is a common Irish surname that originates from the River Shannon and is borne by numerous notable individuals, including mathematician and information theorist Claude Shannon.
  • B. Shannon
    Shannon is a small rural town in the Manawatū-Whanganui region of New Zealand’s North Island.
  • C. Shannon
    Shannon is a small municipality in Quebec, Canada, known for its proximity to Canadian Forces Base Valcartier and its largely bilingual, predominantly anglophone community.
  • D. Shannon
    Shannon is a modern planned town in County Clare, Ireland, best known for its proximity to Shannon Airport and its role as an industrial and commercial hub in the Mid-West region.
  • E. Shannons
    Shannons is an Australian insurance company best known for providing specialist car and motorcycle insurance, particularly for motoring enthusiasts and classic vehicle owners.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d59f5081909f6a81d578c4e2e8 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.