Triple
T33583537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semai people |
E860215
|
entity |
| Predicate | oneOfLargestGroupsIn |
P52368
|
FINISHED |
| Object | Orang Asli |
—
|
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: Orang Asli | Statement: [Semai people, oneOfLargestGroupsIn, Orang Asli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfLargestGroupsIn Context triple: [Semai people, oneOfLargestGroupsIn, Orang Asli]
-
A.
oneOfLargestEthnicGroupsIn
chosen
Indicates that an ethnic group is among the largest ethnic groups within a specified place or population.
-
B.
areLargestGroupIn
Indicates that one group is the biggest or most numerous among all groups within a specified context or set.
-
C.
isOneOfLargestCommunitiesOutside
Indicates that an entity ranks among the largest communities of a specified group or type located outside a given reference area or region.
-
D.
oneOfLargest
Indicates that the subject is among the largest members within a specified group or set, but not necessarily the single largest.
-
E.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:40 a.m.