Triple
T6595463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris Swadesh |
E148463
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Swadesh list |
E601510
|
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: Swadesh list | Statement: [Morris Swadesh, knownFor, Swadesh list]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swadesh list Context triple: [Morris Swadesh, knownFor, Swadesh list]
-
A.
Swadesh
chosen
Swadesh is a surname most notably associated with American linguist Morris Swadesh, known for his pioneering work in historical and comparative linguistics.
-
B.
Glottolog
Glottolog is a comprehensive bibliographic and classification database of the world’s languages and dialects, maintained by linguists at the Max Planck Institute.
-
C.
Ei Thesaurus
Ei Thesaurus is a controlled vocabulary and indexing tool used to standardize subject terms for engineering and technical literature in the Ei Compendex database.
-
D.
Ethnologue
Ethnologue is a comprehensive reference work that catalogs and provides detailed information on the world’s known living languages.
-
E.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aed289448190a13c77085bccb006 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42fc9ec8190a6bb19010337d516 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:55 p.m.