Triple
T8406841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaroslavl State Technical University |
E198519
|
entity |
| Predicate | cityHasPopulationCategory |
P560
|
FINISHED |
| Object | medium-sized city |
—
|
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: medium-sized city | Statement: [Yaroslavl State Technical University, cityHasPopulationCategory, medium-sized city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityHasPopulationCategory Context triple: [Yaroslavl State Technical University, cityHasPopulationCategory, medium-sized city]
-
A.
cityPopulationContext
chosen
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
-
B.
populationMeasurementBy
Indicates that a population quantity or statistic is determined, recorded, or reported by a specified agent, method, or source.
-
C.
metropolitanAreaPopulationApproximate
Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
-
D.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
-
E.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb831409308190981089c303ebaef4 |
completed | March 31, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:05 p.m.