Triple
T31999600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rata |
E817086
|
entity |
| Predicate | associatedWithAircraftCategory |
P206142
|
FINISHED |
| Object | single-seat fighter |
—
|
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: single-seat fighter | Statement: [Rata, associatedWithAircraftCategory, single-seat fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftCategory Context triple: [Rata, associatedWithAircraftCategory, single-seat fighter]
-
A.
associatedWithCarrierAircraft
Indicates a relationship where something is linked or connected to a carrier-based aircraft, such as being used by, transported on, or otherwise functionally related to it.
-
B.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
C.
associatedWithAircraftDesignation
Indicates a relationship where something is linked to, identified by, or characterized through a specific aircraft designation.
-
D.
associatedWithAircraftManufacturer
Indicates that an entity has a relationship or connection with a specific aircraft manufacturer, such as collaboration, production, ownership, or other formal association.
-
E.
targetAircraftCategory
Indicates the category or type of aircraft that is the intended target of an action or operation.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:14 a.m.