Triple
T32133390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamangic |
E820708
|
entity |
| Predicate | countryWithMostSpeakers |
P75696
|
FINISHED |
| Object | Nepal |
—
|
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: Nepal | Statement: [Tamangic, countryWithMostSpeakers, Nepal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryWithMostSpeakers Context triple: [Tamangic, countryWithMostSpeakers, Nepal]
-
A.
countryWithLargestNumberOfSpeakers
chosen
Indicates the country in which the highest number of speakers of a given language reside.
-
B.
oneOfMostSpokenLanguages
Indicates that a language is among the most widely spoken languages within a given population or context.
-
C.
countryWithSpeakers
Indicates that a given country is one in which speakers of a specified language (or languages) are present.
-
D.
nationalLanguageSpeakersOf
Indicates that the subject is a language and the object is a country or region where that language is officially recognized as a national language and spoken by its population.
-
E.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
- F. None of above.
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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0031ed5d708190ab93516ad081ada6 |
completed | May 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_6a0031b5dbd081908eb0f4dbb8a0eac3 |
completed | May 10, 2026, 7:20 a.m. |
Created at: May 1, 2026, 12:30 a.m.