Triple
T1157473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setswana |
E24414
|
entity |
| Predicate | languageCodeStandard |
P22958
|
FINISHED |
| Object | ISO 639 |
E18761
|
NE FINISHED |
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: ISO 639 | Statement: [Setswana, languageCodeStandard, ISO 639]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 639 Context triple: [Setswana, languageCodeStandard, ISO 639]
-
A.
ISO 639
chosen
ISO 639 is an international standard that defines codes for the representation of names of languages.
-
B.
ISO 3166-3
ISO 3166-3 is the part of the ISO 3166 standard that defines codes for countries and territories that have been removed from the current ISO 3166-1 list, providing their former country codes and their replacements.
-
C.
ISO 3166-1
ISO 3166-1 is an international standard published by ISO that defines globally recognized country codes in alpha-2, alpha-3, and numeric formats.
-
D.
ISO 3166
ISO 3166 is an international standard published by the International Organization for Standardization that defines globally recognized codes for the names of countries, dependent territories, and their principal subdivisions.
-
E.
Unicode CLDR
Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcab3cd08190ad06ea007042a8fc |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eba03f081908c8bf99e6369080a |
completed | March 7, 2026, 5:22 p.m. |
Created at: March 1, 2026, 7:44 p.m.