Triple

T28729436
Position Surface form Disambiguated ID Type / Status
Subject Iveagh Trust E730616 entity
Predicate hasNotableEstate P8997 FINISHED
Object Bull Alley Estate
Bull Alley Estate is a historic early 20th-century social housing complex in Dublin, Ireland, developed as part of philanthropic urban improvement efforts.
E1830290 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: Bull Alley Estate | Statement: [Iveagh Trust, hasNotableEstate, Bull Alley Estate]
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: Bull Alley Estate
Triple: [Iveagh Trust, hasNotableEstate, Bull Alley Estate]
Generated description
Bull Alley Estate is a historic early 20th-century social housing complex in Dublin, Ireland, developed as part of philanthropic urban improvement efforts.

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_69f043eae0908190b28ce314686247d7 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657662cec8190b1cf4ec832658a3b completed May 2, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf62ea0c8190876d1a86ef26b76d completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1ccff9242081908a415b1d68855a63 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a249457116881909199d0b381a902c3 completed June 6, 2026, 9:42 p.m.
Created at: April 28, 2026, 5:57 a.m.