Triple
T26451769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukhoi Su-57 |
E665367
|
entity |
| Predicate | allianceOrPartnerCountry |
P1206
|
FINISHED |
| Object | India (former FGFA partner) |
—
|
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: India (former FGFA partner) | Statement: [Sukhoi Su-57, allianceOrPartnerCountry, India (former FGFA partner)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allianceOrPartnerCountry Context triple: [Sukhoi Su-57, allianceOrPartnerCountry, India (former FGFA partner)]
-
A.
countryPartner
chosen
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
B.
oftenAlliedWith
Indicates that one entity is frequently or habitually allied or aligned in cooperation with another entity.
-
C.
alliesOf
Indicates that one entity is in a cooperative, supportive, or mutually beneficial alliance with another entity.
-
D.
vassalOrAllyOf
Indicates that one entity is subordinate to, dependent on, or formally aligned in support of another entity, typically in a hierarchical or cooperative political or military relationship.
-
E.
historicallyAlliedWith
Indicates that two entities have been political, military, or strategic allies during some period in the past.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612661bf08190897f910a6ade77cc |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 12:06 a.m.