Triple

T23576685
Position Surface form Disambiguated ID Type / Status
Subject Inis Cealtra E580274 entity
Predicate associatedWithSaint P2830 FINISHED
Object Saint Caimin
Saint Caimin was an early medieval Irish monk and abbot, venerated as a saint and traditionally associated with founding the monastic settlement on Inis Cealtra (Holy Island) in Lough Derg.
E1601001 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: Saint Caimin | Statement: [Inis Cealtra, associatedWithSaint, Saint Caimin]
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: Saint Caimin
Triple: [Inis Cealtra, associatedWithSaint, Saint Caimin]
Generated description
Saint Caimin was an early medieval Irish monk and abbot, venerated as a saint and traditionally associated with founding the monastic settlement on Inis Cealtra (Holy Island) in Lough Derg.

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_6a0f538b9e1c8190b74c04fdd7d499fc completed May 21, 2026, 6:48 p.m.
NEDg Description generation batch_6a0f54d5f37481909f3bf36772aa3493 completed May 21, 2026, 6:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f55a3a5588190bd6313aacab674a4 completed May 21, 2026, 6:57 p.m.
Created at: April 17, 2026, 6:38 p.m.