Triple
T23505824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiranti |
E572278
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Limbu |
—
|
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: Limbu | Statement: [Kiranti, hasLanguage, Limbu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limbu Context triple: [Kiranti, hasLanguage, Limbu]
-
A.
Limbu
Limbu are an indigenous ethnic group from eastern Nepal and neighboring regions, known for their distinct language, culture, and traditions within the broader Kirati community.
-
B.
Limbuwan
Limbuwan is a historical region in eastern Nepal traditionally inhabited and ruled by the Limbu ethnic group, known for its distinct culture, language, and political identity.
-
C.
Limbu language
chosen
Limbu language is a Sino-Tibetan language spoken primarily by the Limbu ethnic group in eastern Nepal and neighboring regions of India.
-
D.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
E.
Lembá
Lembá is a coastal district on the island of São Tomé in São Tomé and Príncipe, known for its fishing communities and lush tropical landscapes.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8ff97c88190a67f787e1674619e |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.