Triple

T23505876
Position Surface form Disambiguated ID Type / Status
Subject Adi language E572279 entity
Predicate hasDialect P4251 FINISHED
Object Milang dialect
The Milang dialect is a regional variety of the Adi language spoken by the Milang community in Arunachal Pradesh, India.
E1589137 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: Milang dialect | Statement: [Adi language, hasDialect, Milang dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milang dialect
Context triple: [Adi language, hasDialect, Milang dialect]
  • A. Wardandi dialect
    The Wardandi dialect is a regional variety of the Noongar Aboriginal language traditionally spoken by the Wardandi people of southwestern Western Australia.
  • B. Wudjari dialect
    The Wudjari dialect is a regional variety of the Noongar Aboriginal language traditionally spoken by the Wudjari people of southwestern Western Australia.
  • C. Kaimbulawa dialect
    The Kaimbulawa dialect is a regional variety of the Wolio language spoken by communities on Buton Island in Southeast Sulawesi, Indonesia.
  • D. Molongkuni dialect
    The Molongkuni dialect is a regional variety of the Mori Atas language spoken by a local community in Sulawesi, Indonesia.
  • E. Kokalukuna dialect
    The Kokalukuna dialect is a regional variety of the Wolio language spoken on Buton Island in Indonesia.
  • 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: Milang dialect
Triple: [Adi language, hasDialect, Milang dialect]
Generated description
The Milang dialect is a regional variety of the Adi language spoken by the Milang community in Arunachal Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Milang dialect
Target entity description: The Milang dialect is a regional variety of the Adi language spoken by the Milang community in Arunachal Pradesh, India.
  • A. Wardandi dialect
    The Wardandi dialect is a regional variety of the Noongar Aboriginal language traditionally spoken by the Wardandi people of southwestern Western Australia.
  • B. Wudjari dialect
    The Wudjari dialect is a regional variety of the Noongar Aboriginal language traditionally spoken by the Wudjari people of southwestern Western Australia.
  • C. Kaimbulawa dialect
    The Kaimbulawa dialect is a regional variety of the Wolio language spoken by communities on Buton Island in Southeast Sulawesi, Indonesia.
  • D. Molongkuni dialect
    The Molongkuni dialect is a regional variety of the Mori Atas language spoken by a local community in Sulawesi, Indonesia.
  • E. Kokalukuna dialect
    The Kokalukuna dialect is a regional variety of the Wolio language spoken on Buton Island in Indonesia.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8ff97c88190a67f787e1674619e completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8277b97481909b1405fd7469b910 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f2d4288190b0b5fd46d2a387bf completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7f09af48190b7bfdae25d2f286b completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 6:07 p.m.