Triple
T3254967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–United Kingdom relations |
E68273
|
entity |
| Predicate | hasModernAspect |
P46893
|
FINISHED |
| Object | comprehensive strategic partnership |
—
|
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: comprehensive strategic partnership | Statement: [India–United Kingdom relations, hasModernAspect, comprehensive strategic partnership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernAspect Context triple: [India–United Kingdom relations, hasModernAspect, comprehensive strategic partnership]
-
A.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
B.
hasModernEditions
Indicates that an original work or text has one or more updated or contemporary published editions.
-
C.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
D.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
E.
mediaAspect
Indicates the specific aspect ratio or dimensional proportion of a media item in relation to its width and height.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf65c9388190a0d74d6365ce631e |
completed | March 8, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69ada41ae74081909a0d1d696be8e35e |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.