Triple
T15424876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratov Gagarin Airport |
E369481
|
entity |
| Predicate | isNamedInfrastructure |
P118735
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Saratov Gagarin Airport, isNamedInfrastructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedInfrastructure Context triple: [Saratov Gagarin Airport, isNamedInfrastructure, yes]
-
A.
isNamedLocation
Indicates that an entity is a specific, identifiable place referred to by a proper name.
-
B.
isNamedUnit
Indicates that an entity is a unit of measurement that has an explicit, conventional name rather than being expressed purely in derived or composite form.
-
C.
isNamedFacilityOf
Indicates that a facility bears the official name associated with a particular entity (such as an organization, person, or place).
-
D.
isNamedEntity
Indicates that the subject is recognized as a named entity, such as a specific person, organization, location, or other proper noun.
-
E.
isPartOfInfrastructureType
Indicates that something belongs to, or is categorized under, a specific type of infrastructure.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec032548190840b558dde6057c7 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.