Triple

T23576647
Position Surface form Disambiguated ID Type / Status
Subject Abbeyfeale E580273 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Abbeyfeale Boys National School
Abbeyfeale Boys National School is a primary-level boys’ school serving the local community in the town of Abbeyfeale, County Limerick, Ireland.
E1592658 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: Abbeyfeale Boys National School | Statement: [Abbeyfeale, hasPrimarySchool, Abbeyfeale Boys National School]
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: Abbeyfeale Boys National School
Triple: [Abbeyfeale, hasPrimarySchool, Abbeyfeale Boys National School]
Generated description
Abbeyfeale Boys National School is a primary-level boys’ school serving the local community in the town of Abbeyfeale, County Limerick, Ireland.

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_69e24601a9108190bc31e83833c980e4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1afd6608481909a0d293ba8f65b2b completed April 29, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f456ebafc819092afbe7080409509 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f46b69d288190b3fb6dcea9fb44b5 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f476e8eb88190a895453552c92b9a completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:38 p.m.