Triple

T23050794
Position Surface form Disambiguated ID Type / Status
Subject Shefa Province E574005 entity
Predicate contains P35 FINISHED
Object Laika
Laika is a locality within Papua New Guinea’s Shefa Province, known as one of the region’s smaller settlements.
E1568946 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: Laika | Statement: [Shefa Province, contains, Laika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laika
Context triple: [Shefa Province, contains, Laika]
  • A. Laika
    Laika was a British indie band known for its experimental blend of electronic, jazz, and post-rock elements in the 1990s and early 2000s.
  • B. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • C. Laika
    Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • D. Fido
    Fido is a lesser-known companion character associated with the American folk hero Paul Bunyan in tall tales of the lumberjack’s adventures.
  • E. Fido
    Fido is a 2006 Canadian zombie comedy film in which Carrie-Anne Moss plays a lead role in a 1950s-style world where domesticated zombies serve humans.
  • 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: Laika
Triple: [Shefa Province, contains, Laika]
Generated description
Laika is a locality within Papua New Guinea’s Shefa Province, known as one of the region’s smaller settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laika
Target entity description: Laika is a locality within Papua New Guinea’s Shefa Province, known as one of the region’s smaller settlements.
  • A. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • B. Laika
    Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • C. Laika
    Laika was a British indie band known for its experimental blend of electronic, jazz, and post-rock elements in the 1990s and early 2000s.
  • D. Fido
    Fido is a lesser-known companion character associated with the American folk hero Paul Bunyan in tall tales of the lumberjack’s adventures.
  • E. Fido
    Fido is a Canadian mobile phone service provider known for offering wireless plans and devices, primarily targeting value-conscious consumers.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867c443081909588262bc90748af completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ade221081909d25033a5edc73ca completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f3fe0d081908b86806ec2399eca completed May 19, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fd3f8608190879a222a697716bd completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.