Triple
T31768152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samia |
E810863
|
entity |
| Predicate | countryStatusInUganda |
P89200
|
FINISHED |
| Object | minority language |
—
|
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: minority language | Statement: [Samia, countryStatusInUganda, minority language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryStatusInUganda Context triple: [Samia, countryStatusInUganda, minority language]
-
A.
populationRankInUganda
Indicates the relative position of an entity in terms of population size compared to other entities within Uganda.
-
B.
regionInUganda
Indicates that a region or area is geographically located within the country of Uganda.
-
C.
primaryStatusInUganda
chosen
Indicates the primary legal, social, or operational status an entity holds specifically within the context of Uganda.
-
D.
majorDistrictsUganda
Indicates that the subject is a major administrative district within the country of Uganda.
-
E.
countryStatusInZimbabwe
Indicates the legal or diplomatic status that an entity holds within or in relation to Zimbabwe.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: April 30, 2026, 11:33 p.m.