Triple

T5827492
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Boyne E129262 entity
Predicate associatedOrganization P37 FINISHED
Object Orange Order E108983 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: Orange Order | Statement: [Battle of the Boyne, associatedOrganization, Orange Order]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Order
Context triple: [Battle of the Boyne, associatedOrganization, Orange Order]
  • A. Orange Order chosen
    The Orange Order is a Protestant fraternal organization originating in Ireland, known for promoting unionism and organizing parades, particularly in Northern Ireland.
  • B. Medeus
    Medeus is a character known as one of the children of Jason, sharing in the mythological legacy surrounding the hero’s family.
  • C. Sealtiel
    Sealtiel is a biblical figure mentioned in the Old Testament genealogies, traditionally recognized as the father of Zerubbabel and an ancestor of Jesus in the Gospel accounts.
  • D. In Flames
    In Flames is a pioneering Swedish metal band widely credited with shaping the Gothenburg melodic death metal sound and influencing modern metal worldwide.
  • E. DragonForce
    DragonForce is a British power metal band renowned for its extremely fast guitar work and epic, video game–inspired sound.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341df8dc8190871af068e1f927a2 completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09863be3c8190bba357bf64e22917 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.