Triple

T7492953
Position Surface form Disambiguated ID Type / Status
Subject Ha language E177051 entity
Predicate alternateName P39 FINISHED
Object Iha
Iha is a Papuan language spoken primarily in the Bomberai Peninsula region of West Papua, Indonesia.
 E667770 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: Iha | Statement: [Ha language, alternateName, Iha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iha
Context triple: [Ha language, alternateName, Iha]
  • A. Atsu
    Atsu is a Japanese given-name element commonly used as the first part of longer names such as Atsuko.
  • B. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • C. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • D. Hieda
    Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
  • E. Maglan
    Maglan is an elite Israeli special forces unit known for conducting deep reconnaissance and precision strike missions behind enemy lines.
  • 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: Iha
Triple: [Ha language, alternateName, Iha]
Generated description
Iha is a Papuan language spoken primarily in the Bomberai Peninsula region of West Papua, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iha
Target entity description: Iha is a Papuan language spoken primarily in the Bomberai Peninsula region of West Papua, Indonesia.
  • A. Atsu
    Atsu is a Japanese given-name element commonly used as the first part of longer names such as Atsuko.
  • B. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • C. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • D. Hieda
    Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
  • E. Maglan
    Maglan is an elite Israeli special forces unit known for conducting deep reconnaissance and precision strike missions behind enemy lines.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5784c908190b701959daf082625 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c7c60b8819090f2c4b16332c557 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e50fac08190bdcceef0c5f55244 completed March 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69c83ebff75c81908313e6df6f76d3f0 completed March 28, 2026, 8:49 p.m.
Created at: March 27, 2026, 3:43 p.m.