Triple
T19120793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal Nath |
E468035
|
entity |
| Predicate | hasHeldCabinetRank |
P30303
|
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: [Kamal Nath, hasHeldCabinetRank, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeldCabinetRank Context triple: [Kamal Nath, hasHeldCabinetRank, yes]
-
A.
hasCabinetRole
Indicates that an entity holds or is assigned a specific role or position within a cabinet (such as a governmental or executive cabinet).
-
B.
hasHeldOfficeType
chosen
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
-
C.
hasMinisterialRank
Indicates that an entity holds a position or status equivalent to a government minister in rank.
-
D.
hasGeneralOfficerRank
Indicates that an entity holds a military rank at the general officer level.
-
E.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c921d4819092e2ae237bf85978 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.