Triple

T3330324
Position Surface form Disambiguated ID Type / Status
Subject South Semitic languages E70016 entity
Predicate includesLanguage P2177 FINISHED
Object Shehri
Shehri is a Modern South Arabian language spoken primarily by indigenous communities in southern Oman and parts of eastern Yemen.
 E347907 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: Shehri | Statement: [South Semitic languages, includesLanguage, Shehri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shehri
Context triple: [South Semitic languages, includesLanguage, Shehri]
  • A. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • B. Jhelumi
    Jhelumi is a regional dialect of the Potohari language spoken primarily in and around the Jhelum area of Pakistan.
  • C. Vashi
    Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
  • D. Wazirabad
    Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
  • E. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • 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: Shehri
Triple: [South Semitic languages, includesLanguage, Shehri]
Generated description
Shehri is a Modern South Arabian language spoken primarily by indigenous communities in southern Oman and parts of eastern Yemen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shehri
Target entity description: Shehri is a Modern South Arabian language spoken primarily by indigenous communities in southern Oman and parts of eastern Yemen.
  • A. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • B. Jhelumi
    Jhelumi is a regional dialect of the Potohari language spoken primarily in and around the Jhelum area of Pakistan.
  • C. Vashi
    Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
  • D. Wazirabad
    Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
  • E. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a810e2c8190bfc206bdeb1ac5b8 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c37f3a08190823c32e8f933ce82 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31caa4e188190b4dfd613fdaebdb6 completed March 12, 2026, 8:06 p.m.
Created at: March 8, 2026, 3:12 p.m.