Triple

T37482497
Position Surface form Disambiguated ID Type / Status
Subject Barony of Carbury E931445 entity
Predicate containsEcclesiasticalParish P83706 FINISHED
Object St John’s parish, Sligo
St John’s parish, Sligo is an ecclesiastical parish in County Sligo, Ireland, centered on the historic St John’s Church and serving part of the town and surrounding area.
E2228746 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: St John’s parish, Sligo | Statement: [Barony of Carbury, containsEcclesiasticalParish, St John’s parish, Sligo]
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: St John’s parish, Sligo
Triple: [Barony of Carbury, containsEcclesiasticalParish, St John’s parish, Sligo]
Generated description
St John’s parish, Sligo is an ecclesiastical parish in County Sligo, Ireland, centered on the historic St John’s Church and serving part of the town and surrounding area.

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_69f76ec382248190b47844df596123c6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a01aa807d38819093b19b6ba08bb12b completed May 11, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a408c4011b081909f979bdbbcb11b0a completed June 28, 2026, 2:51 a.m.
NEDg Description generation batch_6a408d9345e081909b4b57e218254858 completed June 28, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_6a408e95b7dc8190a6b7cf7a355f2966 completed June 28, 2026, 3:01 a.m.
Created at: May 3, 2026, 4:17 p.m.