Triple
T23343007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icefall Doctors |
E591782
|
entity |
| Predicate | nationalityMajority |
P130892
|
FINISHED |
| Object | Nepali |
—
|
LITERAL FINISHED |
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: Nepali | Statement: [Icefall Doctors, nationalityMajority, Nepali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityMajority Context triple: [Icefall Doctors, nationalityMajority, Nepali]
-
A.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
B.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
ethnicMajorityRuled
Indicates that the governing authority or ruling group in a context is composed primarily of members of the ethnic majority.
-
D.
minorityMajority
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
-
E.
primaryNationality
chosen
Indicates the main national affiliation or citizenship that most strongly characterizes an entity among possibly multiple nationalities.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983431f08190b0078728d44872a8 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:18 p.m.