Triple
T37087689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Minister of Rajasthan |
E918333
|
entity |
| Predicate | numberOfTermLimits |
P205721
|
FINISHED |
| Object | no fixed term limits |
—
|
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 fixed term limits | Statement: [Chief Minister of Rajasthan, numberOfTermLimits, no fixed term limits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTermLimits Context triple: [Chief Minister of Rajasthan, numberOfTermLimits, no fixed term limits]
-
A.
termLimitDefinedBy
Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
-
B.
incumbentTermLimited
Indicates that the current officeholder is restricted by term limits from serving another consecutive term in that office.
-
C.
maximumConsecutiveTermsOfGovernor
Indicates the highest number of consecutive terms that a governor is allowed to serve in office.
-
D.
termLimitAppliesTo
Indicates that a specific term limit restriction is applicable to a particular position, role, or entity.
-
E.
termLimitHistory
Indicates the historical record of term limits that have applied to an entity, including when and how those limits were in effect or changed over time.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.