Triple

T6603633
Position Surface form Disambiguated ID Type / Status
Subject County Tipperary E149061 entity
Predicate containsVillage P4011 FINISHED
Object Lorrha
Lorrha is a historic rural village in north County Tipperary, Ireland, known for its ancient monastic sites and archaeological heritage.
E606344 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: Lorrha | Statement: [County Tipperary, containsVillage, Lorrha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorrha
Context triple: [County Tipperary, containsVillage, Lorrha]
  • A. Osraige
    Osraige was an early medieval Irish kingdom located in what is now mainly County Kilkenny and parts of County Laois.
  • B. Morath
    Morath is the surname of Inge Morath, the renowned Austrian-born Magnum photographer celebrated for her humanistic and poetic documentary work.
  • C. Toormina
    Toormina is a coastal suburb in the Coffs Harbour region of New South Wales, Australia, known as a residential and commercial area near the beachside town of Sawtell.
  • D. Spalauthra
    Spalauthra is an ancient settlement or locality situated within the historical region of Magnesia in Greece.
  • E. Railsea
    Railsea is a 2012 young adult science fiction novel by China Miéville that reimagines Moby-Dick in a post-apocalyptic world of endless railroads and monstrous subterranean creatures.
  • 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: Lorrha
Triple: [County Tipperary, containsVillage, Lorrha]
Generated description
Lorrha is a historic rural village in north County Tipperary, Ireland, known for its ancient monastic sites and archaeological heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorrha
Target entity description: Lorrha is a historic rural village in north County Tipperary, Ireland, known for its ancient monastic sites and archaeological heritage.
  • A. Osraige
    Osraige was an early medieval Irish kingdom located in what is now mainly County Kilkenny and parts of County Laois.
  • B. Morath
    Morath is the surname of Inge Morath, the renowned Austrian-born Magnum photographer celebrated for her humanistic and poetic documentary work.
  • C. Toormina
    Toormina is a coastal suburb in the Coffs Harbour region of New South Wales, Australia, known as a residential and commercial area near the beachside town of Sawtell.
  • D. Spalauthra
    Spalauthra is an ancient settlement or locality situated within the historical region of Magnesia in Greece.
  • E. Railsea
    Railsea is a 2012 young adult science fiction novel by China Miéville that reimagines Moby-Dick in a post-apocalyptic world of endless railroads and monstrous subterranean creatures.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af11f0788190be010c6ee60e150c completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43860f081908fbf1ec65bdad940 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e583b1388190a57dce649567ef98 completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.