Triple

T34692669
Position Surface form Disambiguated ID Type / Status
Subject 1940 Australian federal election E890940 entity
Predicate chamberElected P4036 FINISHED
Object House of Representatives
The House of Representatives is the lower house of the Parliament of Australia, where government is formed and most federal legislation is introduced and debated.
E1118368 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: House of Representatives | Statement: [1940 Australian federal election, chamberElected, House of Representatives]
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: House of Representatives
Triple: [1940 Australian federal election, chamberElected, House of Representatives]
Generated description
The House of Representatives is the lower house of the Parliament of Australia, where government is formed and most federal legislation is introduced and debated.

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_69f349db7ab8819086808e833f472871 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7235395488190b246679f9ee8c508 completed May 3, 2026, 10:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3752e10d6881908624e834af3f9d59 completed June 21, 2026, 2:56 a.m.
NEDg Description generation batch_6a3753dfb2648190bced71780cfaffdd completed June 21, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_6a37548530b4819091c423f83d8d387a completed June 21, 2026, 3:03 a.m.
Created at: May 1, 2026, 2:05 a.m.