Triple

T24342178
Position Surface form Disambiguated ID Type / Status
Subject Limerick GAA E613538 entity
Predicate hasSeniorTeam P23147 FINISHED
Object Limerick senior hurling team
The Limerick senior hurling team is the county’s top-level inter-county hurling side, renowned as one of Ireland’s most successful and historically significant teams in the sport.
E613538 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: Limerick senior hurling team | Statement: [Limerick GAA, hasSeniorTeam, Limerick senior hurling team]
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: Limerick senior hurling team
Triple: [Limerick GAA, hasSeniorTeam, Limerick senior hurling team]
Generated description
The Limerick senior hurling team is the county’s top-level inter-county hurling side, renowned as one of Ireland’s most successful and historically significant teams in the sport.

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_69e2d7dcc5a08190b53691130d56cbc4 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2932511908190993ed984fdc4c739 completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd65f7f588190ac2f3e005345f7a0 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd76f32f081908122da8e6064e205 completed May 22, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8e99d58819091ad4bf05fdb101a completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 1:57 a.m.