Triple
T27320988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibanda-Kyerwa National Park |
E689493
|
entity |
| Predicate | humanPopulationInside |
P102370
|
FINISHED |
| Object | very low permanent population |
—
|
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: very low permanent population | Statement: [Ibanda-Kyerwa National Park, humanPopulationInside, very low permanent population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanPopulationInside Context triple: [Ibanda-Kyerwa National Park, humanPopulationInside, very low permanent population]
-
A.
hostsPopulation
chosen
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
-
B.
guestCountApproximate
Indicates that the number of guests involved is represented as an estimated or approximate count rather than an exact figure.
-
C.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
-
D.
humanSettlementInside
Indicates that one human settlement is located entirely within the geographic boundaries of another area or settlement.
-
E.
confinedPopulation
Indicates that a population is restricted or limited to a specific bounded area or controlled environment.
- 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f627ea5e8881909e0c41f8ccdf0be0 |
completed | May 2, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:33 a.m.