Triple
T4569919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemi-Tornio Airport |
E123004
|
entity |
| Predicate | cityServedType |
P57766
|
FINISHED |
| Object | twin towns |
—
|
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: twin towns | Statement: [Kemi-Tornio Airport, cityServedType, twin towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityServedType Context triple: [Kemi-Tornio Airport, cityServedType, twin towns]
-
A.
cityServedRegion
Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
-
B.
servedCity
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
-
C.
capitalOfCountryServed
Indicates that a city serves as the capital of a given country.
-
D.
sectorServed
Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
-
E.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c3eba48190af1fce6e1ca16943 |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.