Triple

T25574952
Position Surface form Disambiguated ID Type / Status
Subject Athenry E641079 entity
Predicate railwayLine P848 FINISHED
Object Limerick–Athenry railway line
The Limerick–Athenry railway line is a regional rail route in western Ireland that connects the city of Limerick with the town of Athenry, forming part of the country’s cross‑country rail network.
E1721386 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: Limerick–Athenry railway line | Statement: [Athenry, railwayLine, Limerick–Athenry railway line]
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: Limerick–Athenry railway line
Triple: [Athenry, railwayLine, Limerick–Athenry railway line]
Generated description
The Limerick–Athenry railway line is a regional rail route in western Ireland that connects the city of Limerick with the town of Athenry, forming part of the country’s cross‑country rail network.

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_69e75dc281bc819095ec04dc0c3a94d0 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f92fb11c819086165e59ffef4910 completed May 2, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a2d16c0819085170b61dd30bc11 completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119b9ccb58819083a8df3cc389c790 completed May 23, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a119c7d5eac8190ae6fbb97bf64b472 completed May 23, 2026, 12:24 p.m.
Created at: April 21, 2026, 4 p.m.