Triple
T29679027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobatae |
E750900
|
entity |
| Predicate | corePopulationOf |
P167587
|
FINISHED |
| Object | Kingdom of Nobatia |
—
|
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: Kingdom of Nobatia | Statement: [Nobatae, corePopulationOf, Kingdom of Nobatia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corePopulationOf Context triple: [Nobatae, corePopulationOf, Kingdom of Nobatia]
-
A.
countryPopulationContext
Indicates the contextual population characteristics or statistics associated with a specific country.
-
B.
cityPopulationContext
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
-
C.
totalPopulation
Indicates the overall number of individuals in a defined group, area, or category, typically summing all constituent subpopulations.
-
D.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
E.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6725f965c81909c66601bf11c5fdc |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:09 p.m.