Triple

T24594075
Position Surface form Disambiguated ID Type / Status
Subject Tuam E608615 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Presentation College, Tuam
Presentation College, Tuam is a secondary-level school in Tuam, County Galway, Ireland, known for providing co-educational academic and extracurricular programs to local students.
E1643013 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: Presentation College, Tuam | Statement: [Tuam, hasEducationalInstitution, Presentation College, Tuam]
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: Presentation College, Tuam
Triple: [Tuam, hasEducationalInstitution, Presentation College, Tuam]
Generated description
Presentation College, Tuam is a secondary-level school in Tuam, County Galway, Ireland, known for providing co-educational academic and extracurricular programs to local students.

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_69e2c4cf54248190af7b0c2d9ade9830 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a9dd66d081909e99a04a2a96fba8 completed April 30, 2026, 1:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff881fb08819087a19fce18d1c227 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ffa9b94348190b29be378557a2913 completed May 22, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffb28df388190ae3780b78c7c04c8 completed May 22, 2026, 6:43 a.m.
Created at: April 18, 2026, 2:30 a.m.