Triple

T7846056
Position Surface form Disambiguated ID Type / Status
Subject National Average Wage Index E181924 entity
Predicate hasAbbreviation P43 FINISHED
Object NAWI
NAWI is the commonly used abbreviation for the National Average Wage Index, a measure of the average annual wages subject to Social Security taxation in the United States.
 E698584 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: NAWI | Statement: [National Average Wage Index, hasAbbreviation, NAWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAWI
Context triple: [National Average Wage Index, hasAbbreviation, NAWI]
  • A. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • B. Nawuri
    Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
  • C. Na Wa Ta
    Na Wa Ta is the Burmese-language acronym for Myanmar’s former military junta, the State Law and Order Restoration Council, which ruled the country after the 1988 coup.
  • D. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • E. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • 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: NAWI
Triple: [National Average Wage Index, hasAbbreviation, NAWI]
Generated description
NAWI is the commonly used abbreviation for the National Average Wage Index, a measure of the average annual wages subject to Social Security taxation in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAWI
Target entity description: NAWI is the commonly used abbreviation for the National Average Wage Index, a measure of the average annual wages subject to Social Security taxation in the United States.
  • A. Nawa
    Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
  • B. Nawuri
    Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
  • C. Na Wa Ta
    Na Wa Ta is the Burmese-language acronym for Myanmar’s former military junta, the State Law and Order Restoration Council, which ruled the country after the 1988 coup.
  • D. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • E. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163f5da08190b7340ef4cc01cd19 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5af27c9c8190a3e6062d323acff1 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb5def38e88190864d84abd7959aa3 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb766e41fc8190a08f07d04774053a completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:49 p.m.