Triple

T32292108
Position Surface form Disambiguated ID Type / Status
Subject Passfield White Paper E824989 entity
Predicate follows P134 FINISHED
Object Hope Simpson Report
The Hope Simpson Report was a 1930 British government investigation into the social and economic conditions in Mandatory Palestine, particularly focusing on Jewish immigration, land settlement, and their impact on the Arab population.
 E1999507 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: Hope Simpson Report | Statement: [Passfield White Paper, follows, Hope Simpson Report]
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: Hope Simpson Report
Triple: [Passfield White Paper, follows, Hope Simpson Report]
Generated description
The Hope Simpson Report was a 1930 British government investigation into the social and economic conditions in Mandatory Palestine, particularly focusing on Jewish immigration, land settlement, and their impact on the Arab population.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd3500608190ba9e172c0458ff9f completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46f255508190bbd0afce722ffb6e completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f4a3f26748190b975df6e97995182 completed June 15, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a2f4b1ceb948190b1c340b2fa3ed474 completed June 15, 2026, 12:45 a.m.
Created at: May 1, 2026, 12:44 a.m.