Triple

T4861086
Position Surface form Disambiguated ID Type / Status
Subject IML-1 E108660 entity
Predicate sponsoringAgency P59447 FINISHED
Object NASDA
NASDA (National Space Development Agency of Japan) was Japan’s former national space agency responsible for developing and launching satellites and rockets before its functions were integrated into JAXA.
E473806 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: NASDA | Statement: [IML-1, sponsoringAgency, NASDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NASDA
Context triple: [IML-1, sponsoringAgency, NASDA]
  • A. NASAD
    NASAD is a U.S.-based accrediting organization that sets national standards for undergraduate and graduate programs in art and design.
  • B. NSE
    NSE is the IATA airport code for Naval Air Station Whiting Field, a U.S. Navy air training facility in Florida.
  • C. NSE
    NSE is India’s leading electronic stock exchange, known for its advanced trading infrastructure and benchmark indices like the Nifty 50.
  • D. NSE
    NSE is a regional Japanese stock exchange based in Nagoya that facilitates the trading of securities.
  • E. NSE
    NSE is the Nairobi-based stock exchange that serves as Kenya’s primary securities market for trading shares, bonds, and other financial instruments.
  • 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: NASDA
Triple: [IML-1, sponsoringAgency, NASDA]
Generated description
NASDA (National Space Development Agency of Japan) was Japan’s former national space agency responsible for developing and launching satellites and rockets before its functions were integrated into JAXA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NASDA
Target entity description: NASDA (National Space Development Agency of Japan) was Japan’s former national space agency responsible for developing and launching satellites and rockets before its functions were integrated into JAXA.
  • A. NASAD
    NASAD is a U.S.-based accrediting organization that sets national standards for undergraduate and graduate programs in art and design.
  • B. NSE
    NSE is India’s leading electronic stock exchange, known for its advanced trading infrastructure and benchmark indices like the Nifty 50.
  • C. NSE
    NSE is the IATA airport code for Naval Air Station Whiting Field, a U.S. Navy air training facility in Florida.
  • D. NSE
    NSE is a regional Japanese stock exchange based in Nagoya that facilitates the trading of securities.
  • E. NSE
    NSE is the Nairobi-based stock exchange that serves as Kenya’s primary securities market for trading shares, bonds, and other financial instruments.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7162427c81908a67a07545f698ae completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf49590819084de6b655f1c8e88 completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5e7337f481909eb4a41ffe8cd1fe completed March 21, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69be5eaa968081908dafb523f05d597f completed March 21, 2026, 9:02 a.m.
Created at: March 20, 2026, 1:26 p.m.