Triple
T22933796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loinang |
E569516
|
entity |
| Predicate | isRecognizedBy |
P310
|
FINISHED |
| Object | Glottolog |
—
|
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: Glottolog | Statement: [Loinang, isRecognizedBy, Glottolog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glottolog Context triple: [Loinang, isRecognizedBy, Glottolog]
-
A.
Glottolog
chosen
Glottolog is a comprehensive bibliographic and classification database of the world’s languages and dialects, maintained by linguists at the Max Planck Institute.
-
B.
Ethnologue
Ethnologue is a comprehensive reference work that catalogs and provides detailed information on the world’s known living languages.
-
C.
The Atlas of Languages
The Atlas of Languages is a comprehensive reference work that surveys the world’s linguistic diversity, mapping and describing languages, language families, and their global distribution.
-
D.
TRCSL
TRCSL is the national regulatory authority responsible for overseeing and regulating the telecommunications sector in Sri Lanka.
-
E.
FieldWorks Language Explorer
FieldWorks Language Explorer is a software tool used by linguists and language workers to document, analyze, and manage data on lesser-described and minority languages.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.