Triple
T10141219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salekhard Airport |
E231586
|
entity |
| Predicate | servesCityPopulation |
P3936
|
FINISHED |
| Object | residents of Salekhard |
—
|
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: residents of Salekhard | Statement: [Salekhard Airport, servesCityPopulation, residents of Salekhard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCityPopulation Context triple: [Salekhard Airport, servesCityPopulation, residents of Salekhard]
-
A.
servedCity
chosen
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
-
B.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
-
C.
cityPopulationContext
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
-
D.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
E.
cityServedType
Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.