Triple

T24009677
Position Surface form Disambiguated ID Type / Status
Subject Shannon River headrace canal E594491 entity
Predicate locatedNear P294 FINISHED
Object Ardnacrusha
Ardnacrusha is a village in County Clare, Ireland, best known for its historic Shannon hydroelectric power station, one of the earliest large-scale hydro schemes in the country.
E1623979 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: Ardnacrusha | Statement: [Shannon River headrace canal, locatedNear, Ardnacrusha]
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: Ardnacrusha
Triple: [Shannon River headrace canal, locatedNear, Ardnacrusha]
Generated description
Ardnacrusha is a village in County Clare, Ireland, best known for its historic Shannon hydroelectric power station, one of the earliest large-scale hydro schemes in the country.

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_6a0fbcf591e08190a97da09a9df6f205 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbdf3fc5c8190b8dc7e5c2416b02b completed May 22, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbe7e12188190803c1954112de4e6 completed May 22, 2026, 2:25 a.m.
Created at: April 17, 2026, 9:41 p.m.