Triple

T15942607
Position Surface form Disambiguated ID Type / Status
Subject Lahanda E386602 entity
Predicate alternativeNameOf P39 FINISHED
Object Lahnda E82176 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: Lahnda | Statement: [Lahanda, alternativeNameOf, Lahnda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lahnda
Context triple: [Lahanda, alternativeNameOf, Lahnda]
  • A. Lahnda chosen
    Lahnda is a group of Northwestern Indo-Aryan dialects spoken primarily in western Punjab and surrounding regions of Pakistan.
  • B. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • C. Mirpuri
    Mirpuri is a major dialect of the Lahnda (Western Punjabi) language, primarily spoken in the Mirpur region of Azad Kashmir and among its diaspora communities.
  • D. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • E. Ruen
    Ruen is a small town and administrative center in southeastern Bulgaria known for its ethnically diverse population and rural surroundings.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cefe948190af40eac92983edbc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7455c48190bfad24eb8905426d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.