Triple

T11201586
Position Surface form Disambiguated ID Type / Status
Subject Loggerheads Country Park E265052 entity
Predicate nearestTown P350 FINISHED
Object Mold E119060 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: Mold | Statement: [Loggerheads Country Park, nearestTown, Mold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mold
Context triple: [Loggerheads Country Park, nearestTown, Mold]
  • A. Mold chosen
    Mold is a historic market town in Flintshire, northeast Wales, known as a local administrative and cultural center near the River Alyn.
  • B. Mould
    Mould is a surname of English origin borne by various notable individuals, including architect and designer Jacob Wrey Mould.
  • C. Mushroom
    The Mushroom in Mario Kart Wii is a power-up item that gives racers a brief speed boost when used.
  • D. Fungi
    Fungi are a kingdom of mostly multicellular, eukaryotic organisms that obtain nutrients by absorbing them from organic matter, including molds, yeasts, and mushrooms.
  • E. Aspergillus
    Aspergillus is a large genus of filamentous fungi that includes many species important in medicine, industry, and food production, as well as some notable human pathogens.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.