Triple

T5579774
Position Surface form Disambiguated ID Type / Status
Subject Lambadi language E146611 entity
Predicate alternativeName P39 FINISHED
Object Lambadi E161537 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: Lambadi | Statement: [Lambadi language, alternativeName, Lambadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambadi
Context triple: [Lambadi language, alternativeName, Lambadi]
  • A. Lambadi chosen
    Lambadi is an Indo-Aryan language variety spoken primarily by the Lambadi (Banjara) community across parts of northwestern and central India.
  • B. Chenchu
    Chenchu is a Dravidian language spoken by the indigenous Chenchu people, primarily inhabiting forested regions of Andhra Pradesh and Telangana in India.
  • C. Bonda
    Bonda is an archaeological site associated with the pre-Columbian Tairona culture in northern Colombia.
  • D. Tarapith
    Tarapith is a renowned Hindu pilgrimage town in India famous for its temple dedicated to the goddess Tara and associated tantric practices.
  • E. Koasati
    Koasati are a Native American people of the Southeastern United States, closely related to the Alabama tribe and known for their Muskogean language and cultural 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d26856c8190bdda69a049df1c10 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.