Triple
T7825600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Systems Innovation |
E181236
|
entity |
| Predicate | countryISO |
P208
|
FINISHED |
| Object |
JP
JP is the ISO 3166-1 alpha-2 country code for Japan, an East Asian island nation known for its advanced technology, rich culture, and major global economic influence.
|
E695265
|
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: JP | Statement: [Department of Systems Innovation, countryISO, JP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JP Context triple: [Department of Systems Innovation, countryISO, JP]
-
A.
JP
JP is the popular abbreviation for Jayaprakash Narayan, an Indian independence activist and political leader known for spearheading the 1970s "Total Revolution" movement against corruption and authoritarianism.
-
B.
JP
JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
-
C.
JPN
JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
-
D.
JA
JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
-
E.
JA
JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
- 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: JP Triple: [Department of Systems Innovation, countryISO, JP]
Generated description
JP is the ISO 3166-1 alpha-2 country code for Japan, an East Asian island nation known for its advanced technology, rich culture, and major global economic influence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JP Target entity description: JP is the ISO 3166-1 alpha-2 country code for Japan, an East Asian island nation known for its advanced technology, rich culture, and major global economic influence.
-
A.
JP
JP is the popular abbreviation for Jayaprakash Narayan, an Indian independence activist and political leader known for spearheading the 1970s "Total Revolution" movement against corruption and authoritarianism.
-
B.
JP
JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
-
C.
JPN
JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
-
D.
JA
JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
-
E.
JA
JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a6185481908462079bd2827642 |
completed | March 30, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14aefd4881908ffa5825f4ba6eff |
completed | March 31, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69cb1734e5d88190a3d894199ee2fbfe |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a6fc16c8190827593f58b9d742d |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:43 p.m.