Triple
T28007511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester Airport Company |
E707318
|
entity |
| Predicate | operatesFacilityCountry |
P122903
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Rochester Airport Company, operatesFacilityCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesFacilityCountry Context triple: [Rochester Airport Company, operatesFacilityCountry, United States]
-
A.
operatesFacilityInCountry
chosen
Indicates that an entity runs or manages a facility that is located within a specified country.
-
B.
operatesInCountries
Indicates that an entity conducts its activities or business within the specified countries.
-
C.
operatedByCountry
Indicates that an entity (such as an organization, facility, or service) is run, managed, or controlled by a specific country or its government.
-
D.
operatedToCountry
Indicates that an operation, service, or activity is conducted or extended from some source to a specified country.
-
E.
countryOfFacility
Indicates that a facility is located within or belongs to a specific country.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: April 27, 2026, 8:01 p.m.