Triple

T24009476
Position Surface form Disambiguated ID Type / Status
Subject Saint Diarmaid E594486 entity
Predicate traditionallyAssociatedWith P13958 FINISHED
Object Inchcleraun Island
Inchcleraun Island is a historic island on Lough Ree in County Longford, Ireland, known for its early Christian monastic ruins and long-standing religious associations.
E1731452 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: Inchcleraun Island | Statement: [Saint Diarmaid, traditionallyAssociatedWith, Inchcleraun Island]
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: Inchcleraun Island
Triple: [Saint Diarmaid, traditionallyAssociatedWith, Inchcleraun Island]
Generated description
Inchcleraun Island is a historic island on Lough Ree in County Longford, Ireland, known for its early Christian monastic ruins and long-standing religious associations.

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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d46c77f88190806e6287e55c9136 completed April 29, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7d817f8819080c6285985f793ac completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c8f290bc8190bfa1990ee7119516 completed May 23, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca61b1408190ab4bda33e53cb27c completed May 23, 2026, 3:40 p.m.
Created at: April 17, 2026, 9:41 p.m.