Triple

T24133381
Position Surface form Disambiguated ID Type / Status
Subject Ballinasloe E598014 entity
Predicate knownFor P22 FINISHED
Object Ballinasloe Horse Fair
The Ballinasloe Horse Fair is one of Europe’s oldest and largest traditional horse fairs, held annually in Ballinasloe, County Galway, Ireland, featuring horse trading, parades, and cultural festivities.
E1619841 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: Ballinasloe Horse Fair | Statement: [Ballinasloe, knownFor, Ballinasloe Horse Fair]
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: Ballinasloe Horse Fair
Triple: [Ballinasloe, knownFor, Ballinasloe Horse Fair]
Generated description
The Ballinasloe Horse Fair is one of Europe’s oldest and largest traditional horse fairs, held annually in Ballinasloe, County Galway, Ireland, featuring horse trading, parades, and cultural festivities.

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_69e288c808b881909fed7d18f04bcbbe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df79bfd08190970ed1b3f14ebc8b completed April 29, 2026, 10:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad21728c819083d8bb5c8b060617 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae49d6a08190b20305c2e8199b80 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faf56f8648190bd2640c852c50a2a completed May 22, 2026, 1:20 a.m.
Created at: April 17, 2026, 11:26 p.m.