Triple
T29944615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y. S. Rajasekhara Reddy |
E760597
|
entity |
| Predicate | termStartAsChiefMinisterOfAndhraPradesh |
P170439
|
FINISHED |
| Object | 2004-05-14 |
—
|
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: 2004-05-14 | Statement: [Y. S. Rajasekhara Reddy, termStartAsChiefMinisterOfAndhraPradesh, 2004-05-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsChiefMinisterOfAndhraPradesh Context triple: [Y. S. Rajasekhara Reddy, termStartAsChiefMinisterOfAndhraPradesh, 2004-05-14]
-
A.
termEndAsChiefMinisterOfAndhraPradesh
Indicates the point in time when an individual's tenure as Chief Minister of Andhra Pradesh concludes.
-
B.
firstTermAsChiefMinisterStart
Indicates the date or time when an individual’s first term serving as Chief Minister began.
-
C.
firstTermAsChiefMinisterEnd
Indicates the date or point in time when an entity’s first term serving as Chief Minister came to an end.
-
D.
fourthTermAsChiefMinisterStart
Indicates the date or point in time when an entity begins serving in their fourth term as Chief Minister.
-
E.
termStartAsGovernorGeneralOfIndia
Indicates the date or point in time when an individual began their tenure as Governor-General of India.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 6:23 p.m.