Triple

T9369103
Position Surface form Disambiguated ID Type / Status
Subject Morton F.C. E225483 entity
Predicate nickName P2937 FINISHED
Object The Ton E664845 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: The Ton | Statement: [Morton F.C., nickName, The Ton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ton
Context triple: [Morton F.C., nickName, The Ton]
  • A. The Ton chosen
    The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
  • B. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • C. Toda
    Toda is a Southern Dravidian language spoken by the Toda people of the Nilgiri Hills in southern India, known for its highly complex phonology and small speaker population.
  • D. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • E. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5080f55c8190bd5ca0dc0a4ea989 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f40961e88190b12ab78edbebd252 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.