Triple

T9171145
Position Surface form Disambiguated ID Type / Status
Subject Monaghan E220081 entity
Predicate hasRegion P285 FINISHED
Object South Monaghan E220081 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: South Monaghan | Statement: [Monaghan, hasRegion, South Monaghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Monaghan
Context triple: [Monaghan, hasRegion, South Monaghan]
  • A. Monaghan chosen
    Monaghan is a county in the Republic of Ireland known for its drumlin landscapes, lakes, and location along the border with Northern Ireland.
  • B. Newry
    Newry is a city in southeastern Northern Ireland, historically known as a market and trading center near the border with the Republic of Ireland.
  • C. South Armagh
    South Armagh is a predominantly rural region in the south of County Armagh, Northern Ireland, historically known for its borderland landscape and significant role during the Troubles.
  • D. County Armagh
    County Armagh is a historic county in Northern Ireland known for its rich agricultural land, religious heritage, and role in Irish political and cultural history.
  • E. Cookstown
    Cookstown is a market town in County Tyrone, Northern Ireland, known historically for its long main street and role as a local commercial center.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065cd42f481909ad3c68372041b1a completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:22 p.m.