Triple
T21982217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawangan Dayak |
E542868
|
entity |
| Predicate | sharesCulturalTraitsWith |
P1969
|
FINISHED |
| Object | Ngaju Dayak |
—
|
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: Ngaju Dayak | Statement: [Lawangan Dayak, sharesCulturalTraitsWith, Ngaju Dayak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngaju Dayak Context triple: [Lawangan Dayak, sharesCulturalTraitsWith, Ngaju Dayak]
-
A.
Ngaju Dayak
chosen
Ngaju Dayak are an indigenous Dayak ethnic group of Central Kalimantan, Borneo, known for their distinct language, river-based settlements, and rich traditional culture and rituals.
-
B.
Maanyan Dayak
Maanyan Dayak is an Austronesian language spoken by the Maanyan (Dayak) people of central Kalimantan in Indonesia.
-
C.
Dayak Luangan
Dayak Luangan refers to the Dayak ethnic group in Borneo associated with and speaking the Lawangan (Luangan) language.
-
D.
Dayak Lawangan
Dayak Lawangan is an Austronesian language spoken by the Lawangan (Dayak) people of central Kalimantan in Indonesia.
-
E.
Salak Tinggi
Salak Tinggi is a township in the Sepang District of Selangor, Malaysia, known for its proximity to Kuala Lumpur International Airport and its role as a residential and transit hub.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248de3688190a8d24cc8458851f2 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:04 p.m.