Triple

T24880182
Position Surface form Disambiguated ID Type / Status
Subject Michael Scott E622679 entity
Predicate notableWork P4 FINISHED
Object Dublin central bus station (Busáras)
Dublin central bus station, commonly known as Busáras, is a landmark modernist transport hub in central Dublin and a significant example of mid-20th-century Irish architecture.
E1649247 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: Dublin central bus station (Busáras) | Statement: [Michael Scott, notableWork, Dublin central bus station (Busáras)]
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: Dublin central bus station (Busáras)
Triple: [Michael Scott, notableWork, Dublin central bus station (Busáras)]
Generated description
Dublin central bus station, commonly known as Busáras, is a landmark modernist transport hub in central Dublin and a significant example of mid-20th-century Irish architecture.

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_69e2fac4aa848190b3446a3922cec150 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423231fa0819097f5722e6c51fce0 completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c63f23081908c25303c4ac86063 completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a1022daf24481908f3a86a212a1b9bf completed May 22, 2026, 9:33 a.m.
NED2 Entity disambiguation (via description) batch_6a10234dcc988190a2dfed33d61cba58 completed May 22, 2026, 9:35 a.m.
Created at: April 18, 2026, 5:24 a.m.