Triple

T17202613
Position Surface form Disambiguated ID Type / Status
Subject Ariane 4 E417514 entity
Predicate firstFlightPayload P12519 FINISHED
Object Aussat-B
Aussat-B was an Australian communications satellite that provided telecommunication and broadcasting services across Australia and nearby regions.
E1256165 NE FINISHED

How this triple was built (4 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: Aussat-B | Statement: [Ariane 4, firstFlightPayload, Aussat-B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aussat-B
Context triple: [Ariane 4, firstFlightPayload, Aussat-B]
  • A. Aussat-1
    Aussat-1 was Australia’s first national communications satellite, providing telephone, television, and data services across the country and surrounding regions.
  • B. Attert
    Attert is a small municipality and town in the Walloon region of Belgium, near the border with Luxembourg, known for its rural character and cross-border community ties.
  • C. Attert
    The Attert is a river in Western Europe that flows through Belgium and Luxembourg, including the town of Colmar-Berg.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Boulgher
    Boulgher is an alternative spelling or variant form of the surname Bulger.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Aussat-B
Triple: [Ariane 4, firstFlightPayload, Aussat-B]
Generated description
Aussat-B was an Australian communications satellite that provided telecommunication and broadcasting services across Australia and nearby regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aussat-B
Target entity description: Aussat-B was an Australian communications satellite that provided telecommunication and broadcasting services across Australia and nearby regions.
  • A. Aussat-1
    Aussat-1 was Australia’s first national communications satellite, providing telephone, television, and data services across the country and surrounding regions.
  • B. Attert
    Attert is a small municipality and town in the Walloon region of Belgium, near the border with Luxembourg, known for its rural character and cross-border community ties.
  • C. Attert
    The Attert is a river in Western Europe that flows through Belgium and Luxembourg, including the town of Colmar-Berg.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Boulgher
    Boulgher is an alternative spelling or variant form of the surname Bulger.
  • F. None of above. chosen

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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db11fc881908291bf29cc740e09 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fdc13d88190bbf9e6d1272814d2 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a01614239bc819082691853905595ba completed May 11, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0161b8569c819088f0fdd673bb2d03 completed May 11, 2026, 4:57 a.m.
Created at: April 10, 2026, 5:38 a.m.