Triple

T8366300
Position Surface form Disambiguated ID Type / Status
Subject Hani E197135 entity
Predicate autonym P1435 FINISHED
Object Haqniq
Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
 E728084 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: Haqniq | Statement: [Hani, autonym, Haqniq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haqniq
Context triple: [Hani, autonym, Haqniq]
  • A. Haql
    Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
  • B. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • C. Haki
    Haki is the given name of Haki R. Madhubuti, a prominent African-American poet, publisher, and leading figure of the Black Arts Movement.
  • D. Haqqani
    Haqqani is the family name associated with the influential Afghan militant leader Jalaluddin Haqqani and the network he founded.
  • E. Is-haq
    Is-haq is an alternative transliteration of the Arabic name Ishaq, corresponding to the biblical figure Isaac and commonly used in Islamic and Middle Eastern contexts.
  • 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: Haqniq
Triple: [Hani, autonym, Haqniq]
Generated description
Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haqniq
Target entity description: Haqniq is the self-designated name (autonym) used by speakers of the Hani language for themselves or their language.
  • A. Haql
    Haql is a small coastal town in northwestern Saudi Arabia on the Red Sea's Gulf of Aqaba, known for its clear waters, coral reefs, and views of neighboring Egypt and Jordan.
  • B. Haqearu
    Haqearu is an indigenous Aymaran language spoken in the central highlands of Peru.
  • C. Haki
    Haki is the given name of Haki R. Madhubuti, a prominent African-American poet, publisher, and leading figure of the Black Arts Movement.
  • D. Haqqani
    Haqqani is the family name associated with the influential Afghan militant leader Jalaluddin Haqqani and the network he founded.
  • E. Is-haq
    Is-haq is an alternative transliteration of the Arabic name Ishaq, corresponding to the biblical figure Isaac and commonly used in Islamic and Middle Eastern contexts.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808cf80c8190941c3cc0248a5df2 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc78c0c208190ba590c74512a4043 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88456c8190ba8613b4cbf40fbb completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd75714881908f0b069a94ee334f completed April 2, 2026, 1:59 a.m.
Created at: March 30, 2026, 6 p.m.