Triple

T7440230
Position Surface form Disambiguated ID Type / Status
Subject Greenock Morton F.C. E171730 entity
Predicate nickname P55 FINISHED
Object The Ton
The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
 E664845 NE FINISHED

How this triple was built (4 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: [Greenock Morton F.C., nickname, The Ton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Ton
Context triple: [Greenock Morton F.C., nickname, The Ton]
  • A. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • B. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • C. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • D. Tolo
    Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
  • E. Tolo
    Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Ton
Triple: [Greenock Morton F.C., nickname, The Ton]
Generated description
The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Ton
Target entity description: The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
  • A. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • B. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • C. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • D. Tolo
    Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
  • E. Tolo
    Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
  • F. None of above. chosen

Provenance (5 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34d84008190936af2b3670ef210 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c82791ff2c81909967f145d24ff036 completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828420ebc8190bd124a53de185032 completed March 28, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c828a5c2f88190aedd55d40520c672 completed March 28, 2026, 7:14 p.m.
Created at: March 27, 2026, 3:13 p.m.