Triple

T2998777
Position Surface form Disambiguated ID Type / Status
Subject Andaman Hindi E81134 entity
Predicate hasAlternativeName P39 FINISHED
Object Andamani Hindi E81134 NE FINISHED

How this triple was built (2 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: Andamani Hindi | Statement: [Andaman Hindi, hasAlternativeName, Andamani Hindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andamani Hindi
Context triple: [Andaman Hindi, hasAlternativeName, Andamani Hindi]
  • A. Andaman Hindi chosen
    Andaman Hindi is a regional variety of Hindi that serves as a lingua franca among diverse communities in the Andaman Islands, including Great Andamanese speakers.
  • B. Hindko
    Hindko is a group of Indo-Aryan dialects spoken primarily in northern Pakistan, especially in parts of Khyber Pakhtunkhwa and Azad Kashmir.
  • C. Bagheli
    Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
  • D. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • E. Awadhi
    Awadhi is an Indo-Aryan language of northern India, traditionally spoken in parts of Uttar Pradesh and surrounding regions and known for its rich literary and folk traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f766408190a5591efce8346bb9 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e468db4819094fb7badbd48ce1e completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:59 p.m.