Triple

T4096914
Position Surface form Disambiguated ID Type / Status
Subject An Post E87842 entity
Predicate hasBrand P1500 FINISHED
Object An Post Money E87842 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: An Post Money | Statement: [An Post, hasBrand, An Post Money]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Post Money
Context triple: [An Post, hasBrand, An Post Money]
  • A. An Post chosen
    An Post is Ireland’s state-owned postal service provider, responsible for nationwide mail delivery, post offices, and related financial and communication services.
  • B. Ulster Bank
    Ulster Bank is a major commercial bank in Northern Ireland and the Republic of Ireland, historically part of the Royal Bank of Scotland Group, providing retail and corporate banking services.
  • C. Laganbank
    Laganbank is a riverside district and redevelopment area along the River Lagan in Belfast, known for its mix of commercial, residential, and cultural spaces.
  • D. Campbell Money
    Campbell Money is a former Scottish professional football goalkeeper best known for his long and successful spell with St Mirren in the 1980s.
  • E. Pennon Group
    Pennon Group is a UK-based environmental infrastructure company best known for providing water and wastewater services through its regional utilities.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcdef11081908c626a89f2c0e121 completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b725788819091c6aaeccfb86964 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.