Triple

T32996291
Position Surface form Disambiguated ID Type / Status
Subject Ballycarry railway station E844239 entity
Predicate hasAdjacentStation P231 FINISHED
Object Whitehead railway station
Whitehead railway station is a railway stop in County Antrim, Northern Ireland, serving the town of Whitehead on the Belfast–Larne line.
E2033870 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: Whitehead railway station | Statement: [Ballycarry railway station, hasAdjacentStation, Whitehead railway station]
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: Whitehead railway station
Triple: [Ballycarry railway station, hasAdjacentStation, Whitehead railway station]
Generated description
Whitehead railway station is a railway stop in County Antrim, Northern Ireland, serving the town of Whitehead on the Belfast–Larne line.

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_69f3494d99988190b502c68926af2c4d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d2184f608190b4d65d289bf47ab0 completed May 3, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e50462308190b286e58518fb3092 completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e5cf97c08190a6221df36b9d99fa completed June 19, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_6a34e6d3261c81908ab8544cc644b03a completed June 19, 2026, 6:50 a.m.
Created at: May 1, 2026, 1:22 a.m.