Triple
T19249436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Legislature of South Sudan |
E481349
|
entity |
| Predicate | countryISOCode |
P42506
|
FINISHED |
| Object | SS |
—
|
NE NERFINISHED |
How this triple was built (2 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: SS | Statement: [National Legislature of South Sudan, countryISOCode, SS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SS Context triple: [National Legislature of South Sudan, countryISOCode, SS]
-
A.
SS
SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
-
B.
SS
SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
-
C.
SS
chosen
SS is the two-letter ISO 3166-1 alpha-2 country code assigned to South Sudan.
-
D.
SS
SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
-
E.
SS
SS is a post-nominal abbreviation used by recipients of the U.S. military’s Silver Star Medal, one of the nation’s highest awards for valor in combat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2f43e48190abab5257bec8e6aa |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.