Triple
T35404273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mbarara |
E1023322
|
entity |
| Predicate | populationRankInUganda |
P193624
|
FINISHED |
| Object | among largest cities after Kampala |
—
|
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: among largest cities after Kampala | Statement: [Mbarara, populationRankInUganda, among largest cities after Kampala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInUganda Context triple: [Mbarara, populationRankInUganda, among largest cities after Kampala]
-
A.
regionInUganda
Indicates that a region or area is geographically located within the country of Uganda.
-
B.
primaryStatusInUganda
Indicates the primary legal, social, or operational status an entity holds specifically within the context of Uganda.
-
C.
distanceFromKampala
Indicates the measured distance between a given location and the city of Kampala.
-
D.
populationRankInAngola
Indicates the relative position of an entity in terms of population size compared to other entities within Angola.
-
E.
populationRankInUkraine
Indicates the relative position of an entity in terms of population size compared to other entities within Ukraine.
- F. None of above. chosen
Provenance (4 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:03 p.m.