Triple

T28278785
Position Surface form Disambiguated ID Type / Status
Subject 1903 Australian federal election E713082 entity
Predicate forChamber P61483 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: [1903 Australian federal election, forChamber, 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: [1903 Australian federal election, forChamber, 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_69efb52275788190ae5181ccebef18ce completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6444debc88190a2799fedc421013a completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a160701480c81909f50d3ca9f150f01 completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a1620a777888190a1f3951b26b9009b completed May 26, 2026, 10:37 p.m.
NED2 Entity disambiguation (via description) batch_6a16213e193881909119818b6bf07508 completed May 26, 2026, 10:39 p.m.
Created at: April 27, 2026, 11:21 p.m.