Triple

T34566282
Position Surface form Disambiguated ID Type / Status
Subject Langley, Berkshire E887496 entity
Predicate hasPrimarySchool P3445 FINISHED
Object Langley Hall Primary Academy
Langley Hall Primary Academy is a co-educational primary school in Langley, Berkshire, known for its academy status and community-focused education for young children.
 E2102864 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: Langley Hall Primary Academy | Statement: [Langley, Berkshire, hasPrimarySchool, Langley Hall Primary Academy]
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: Langley Hall Primary Academy
Triple: [Langley, Berkshire, hasPrimarySchool, Langley Hall Primary Academy]
Generated description
Langley Hall Primary Academy is a co-educational primary school in Langley, Berkshire, known for its academy status and community-focused education for young children.

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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720671b2881909b5f85ea73a7a8fa completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37362c156081909a43c7f2af149de1 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a37372aa9608190a607c9b4d0c4f978 completed June 21, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a373a7631588190a8fb371e7e7338ac completed June 21, 2026, 1:12 a.m.
Created at: May 1, 2026, 2:02 a.m.