Triple

T32853135
Position Surface form Disambiguated ID Type / Status
Subject Armagh GAA E840306 entity
Predicate governs P760 FINISHED
Object Armagh county hurling team
The Armagh county hurling team is the inter-county hurling side that represents County Armagh in Gaelic games competitions under the Gaelic Athletic Association structure.
E2027699 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: Armagh county hurling team | Statement: [Armagh GAA, governs, Armagh county 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: Armagh county hurling team
Triple: [Armagh GAA, governs, Armagh county hurling team]
Generated description
The Armagh county hurling team is the inter-county hurling side that represents County Armagh in Gaelic games competitions under the Gaelic Athletic Association structure.

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_69f349412c78819084459850e11d29f7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce7ba5b88190a2bc14d4f7d63013 completed May 3, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c6786ffc81908f3fcab9ffbe66a7 completed June 19, 2026, 4:32 a.m.
NEDg Description generation batch_6a34c84409a88190a8eaaf78b0fa0666 completed June 19, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_6a34c93dd1d48190b67b29c885246998 completed June 19, 2026, 4:44 a.m.
Created at: May 1, 2026, 1:17 a.m.