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.