Triple
T30016774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Bhutan relations |
E762616
|
entity |
| Predicate | connectivityProjectsInclude |
P150802
|
FINISHED |
| Object | road links between India and Bhutan |
—
|
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: road links between India and Bhutan | Statement: [India–Bhutan relations, connectivityProjectsInclude, road links between India and Bhutan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectivityProjectsInclude Context triple: [India–Bhutan relations, connectivityProjectsInclude, road links between India and Bhutan]
-
A.
connectsWorks
Indicates a relationship where one work serves to link, bridge, or associate two or more other works.
-
B.
includedProject
chosen
Indicates that one project is contained within, or forms a part of, another project.
-
C.
collaborativeProjects
Indicates that two or more entities work together on shared projects or initiatives toward common goals.
-
D.
projectsOn
Indicates that one entity casts, directs, or extends itself onto the surface, area, or domain of another entity.
-
E.
connectivityFeatures
Indicates the types of network or communication options that are available or supported for connecting to or through an entity.
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 29, 2026, 6:46 p.m.