Triple
T21429349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murut language |
E528642
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Lundayeh |
—
|
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: Lundayeh | Statement: [Murut language, hasDialect, Lundayeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lundayeh Context triple: [Murut language, hasDialect, Lundayeh]
-
A.
Lundayeh
chosen
Lundayeh are an indigenous Dayak ethnic group of the highland interior of Borneo, primarily found in northern Kalimantan, Sabah, and Sarawak, known for their rice cultivation, traditional longhouses, and rich oral traditions.
-
B.
Labweh
Labweh is a town in northeastern Lebanon situated within the Baalbek-Hermel Governorate, known for its agricultural surroundings and proximity to the Syrian border.
-
C.
Danniyeh
Danniyeh is a mountainous region in northern Lebanon known for its rural villages, natural landscapes, and agricultural communities.
-
D.
Jedida
Jedida is a feminine given name, often considered a variant of Jedidah and associated with Hebrew origins meaning "beloved."
-
E.
Nadhour
Nadhour is a town and commune located in the Zaghouan Governorate of northeastern Tunisia.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.