Triple

T623390
Position Surface form Disambiguated ID Type / Status
Subject Saraiki E14560 entity
Predicate closelyRelatedTo P37 FINISHED
Object Lahnda
Lahnda is a group of Northwestern Indo-Aryan dialects spoken primarily in western Punjab and surrounding regions of Pakistan.
 E41867 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: Lahnda | Statement: [Saraiki, closelyRelatedTo, Lahnda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lahnda
Context triple: [Saraiki, closelyRelatedTo, Lahnda]
  • A. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • B. Seraiki
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • C. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • D. Gorani
    Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
  • E. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • 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: Lahnda
Triple: [Saraiki, closelyRelatedTo, Lahnda]
Generated description
Lahnda is a group of Northwestern Indo-Aryan dialects spoken primarily in western Punjab and surrounding regions of Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lahnda
Target entity description: Lahnda is a group of Northwestern Indo-Aryan dialects spoken primarily in western Punjab and surrounding regions of Pakistan.
  • A. Dili
    Dili is the coastal capital and largest city of Timor-Leste, serving as its political, economic, and cultural center.
  • B. Seraiki chosen
    Seraiki is an Indo-Aryan language spoken primarily in central and southern Pakistan, especially in the southern Punjab region.
  • C. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • D. Gorani
    Gorani is a Northwestern Iranian language variety traditionally spoken by Kurdish communities in parts of Iran and Iraq, notable for its rich literary and religious heritage.
  • E. Pakhto
    Pakhto is an alternative name for Pashto, an Eastern Iranian language spoken primarily in Afghanistan and Pakistan.
  • F. None of above.

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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e41753881909f0faed720cc31bc completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563cc368c8190920e0d84d65a236e completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a5644ac23c8190b4df2a9f96385fe0 completed March 2, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69a564c7011c81908560b563a4cad560 completed March 2, 2026, 10:21 a.m.
Created at: March 1, 2026, 7:35 p.m.