Triple

T1997917
Position Surface form Disambiguated ID Type / Status
Subject Vicugna pacos E43398 entity
Predicate relatedTo P37 FINISHED
Object Lama glama
Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
E223420 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: Lama glama | Statement: [Vicugna pacos, relatedTo, Lama glama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lama glama
Context triple: [Vicugna pacos, relatedTo, Lama glama]
  • A. Gelem Gelem
    Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
  • B. Lamlash
    Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
  • C. Nganasan
    The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
  • D. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • E. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • 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: Lama glama
Triple: [Vicugna pacos, relatedTo, Lama glama]
Generated description
Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lama glama
Target entity description: Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
  • A. Gelem Gelem
    Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
  • B. Lamlash
    Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
  • C. Nganasan
    The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
  • D. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • E. Nyishi
    The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb867c49081909a9ca5fa21bf7aa3 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033e733c8190aa11e316e01dbd17 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae05c4c0b48190a2c063f991083ed9 completed March 8, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_69ae0731c56081909849263e12750ad6 completed March 8, 2026, 11:33 p.m.
Created at: March 4, 2026, 7:37 p.m.