Triple

T27087678
Position Surface form Disambiguated ID Type / Status
Subject 28th Dáil E686078 entity
Predicate government3 P194168 FINISHED
Object 23rd Government of Ireland
The 23rd Government of Ireland was the cabinet led by Taoiseach Bertie Ahern that governed the country from 1997 to 2002, overseeing a period of strong economic growth known as the Celtic Tiger.
 E1759110 NE FINISHED

How this triple was built (3 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: 23rd Government of Ireland | Statement: [28th Dáil, government3, 23rd Government of Ireland]
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: 23rd Government of Ireland
Triple: [28th Dáil, government3, 23rd Government of Ireland]
Generated description
The 23rd Government of Ireland was the cabinet led by Taoiseach Bertie Ahern that governed the country from 1997 to 2002, overseeing a period of strong economic growth known as the Celtic Tiger.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: government3
Context triple: [28th Dáil, government3, 23rd Government of Ireland]
  • A. government2
    Indicates a relationship where an entity serves as or functions as the governing authority or administrative body over another entity.
  • B. government1
    Indicates that one entity functions as the governing authority or administration over another entity.
  • C. governmentAdministration
    Indicates that an entity is responsible for managing, directing, or overseeing the operations, policies, and functions of a government or public authority.
  • D. governmentCategory
    Indicates the type or classification of a government associated with an entity.
  • E. countryGovernment
    Indicates the type or form of government that exercises authority over a given country.
  • F. None of above. chosen

Provenance (7 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_69ef148940ec819097b5c20fbfbf7c81 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69fd67191cf88190b53ecbf5be3564e9 completed May 8, 2026, 4:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12536f7bbc8190b25a5b8eda928b66 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a125433c0288190ab1e54c3d763468d completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254fc697c8190baf4f8adefcea4d2 completed May 24, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69fd654fdaac81908e67e75194710f06 completed May 8, 2026, 4:23 a.m.
PDg Predicate description generation batch_69fd67182c348190aa84a02e08dbf4e1 completed May 8, 2026, 4:31 a.m.
Created at: April 27, 2026, 8:38 a.m.