Triple

T8541205
Position Surface form Disambiguated ID Type / Status
Subject NSE All Share Index E202198 entity
Predicate abbreviation P43 FINISHED
Object NASI
NASI is a broad market capitalization-weighted stock index that tracks the performance of all listed companies on the Nairobi Securities Exchange in Kenya.
 E741138 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: NASI | Statement: [NSE All Share Index, abbreviation, NASI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NASI
Context triple: [NSE All Share Index, abbreviation, NASI]
  • A. Nast
    Nast is a German surname most famously associated with 19th-century political cartoonist Thomas Nast, whose work helped define modern American political iconography.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • D. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • E. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • 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: NASI
Triple: [NSE All Share Index, abbreviation, NASI]
Generated description
NASI is a broad market capitalization-weighted stock index that tracks the performance of all listed companies on the Nairobi Securities Exchange in Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NASI
Target entity description: NASI is a broad market capitalization-weighted stock index that tracks the performance of all listed companies on the Nairobi Securities Exchange in Kenya.
  • A. Nast
    Nast is a German surname most famously associated with 19th-century political cartoonist Thomas Nast, whose work helped define modern American political iconography.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • D. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • E. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6da3d65c819087ed6b46dfc35885 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ec3b080819082d64646d453541d completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe928d48190824e7a94fea5cfc0 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:18 p.m.