Triple

T32752739
Position Surface form Disambiguated ID Type / Status
Subject Official Guide of the GAA E837540 entity
Predicate usedBy P260 FINISHED
Object GAA county boards
GAA county boards are the local governing bodies responsible for organizing and overseeing Gaelic games and related activities within each county in Ireland and abroad.
E2020396 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: GAA county boards | Statement: [Official Guide of the GAA, usedBy, GAA county boards]
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: GAA county boards
Triple: [Official Guide of the GAA, usedBy, GAA county boards]
Generated description
GAA county boards are the local governing bodies responsible for organizing and overseeing Gaelic games and related activities within each county in Ireland and abroad.

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_69f34937f97c8190b7f84bea045df3ae completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ccde263c819083d17c42747b9c47 completed May 3, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7b9f8a08190995f3efa28d5cf80 completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a84f88208190910d814624eb669e completed June 19, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a34a8ae390c8190b2dd703205b26045 completed June 19, 2026, 2:25 a.m.
Created at: May 1, 2026, 1:12 a.m.