Triple

T23537404
Position Surface form Disambiguated ID Type / Status
Subject Avoca, County Wicklow, Ireland E577636 entity
Predicate nearConfluenceOf P11843 FINISHED
Object River Avonmore
River Avonmore is a scenic river in County Wicklow, Ireland, known for flowing through the Wicklow Mountains and contributing to the formation of the Avoca River.
E1600984 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: River Avonmore | Statement: [Avoca, County Wicklow, Ireland, nearConfluenceOf, River Avonmore]
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: River Avonmore
Triple: [Avoca, County Wicklow, Ireland, nearConfluenceOf, River Avonmore]
Generated description
River Avonmore is a scenic river in County Wicklow, Ireland, known for flowing through the Wicklow Mountains and contributing to the formation of the Avoca River.

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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1831688190ac06b84729bce160 completed April 29, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f5382dfec8190966d84eaaae7b9eb 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, 6:10 p.m.