Triple
T37117806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor (India) |
E919163
|
entity |
| Predicate | enjoysImmunity |
P78314
|
FINISHED |
| Object | no criminal proceedings in any court during term of office |
—
|
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: no criminal proceedings in any court during term of office | Statement: [Governor (India), enjoysImmunity, no criminal proceedings in any court during term of office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enjoysImmunity Context triple: [Governor (India), enjoysImmunity, no criminal proceedings in any court during term of office]
-
A.
receivedImmunityFrom
Indicates that one entity has been granted protection or exemption (such as legal, medical, or other forms of immunity) by another entity.
-
B.
immunityType
Indicates the specific kind or category of immunity that applies in a given context (e.g., legal, diplomatic, medical).
-
C.
immunity
chosen
Indicates that an entity is protected against or not affected by a particular agent, condition, or influence.
-
D.
hasRoleInImmunity
Indicates that an entity functions in or contributes to an immune-related process or mechanism.
-
E.
immuneEffect
Indicates an effect that an entity has on the immune system or immune response of another 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.