Triple
T8565254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Jayalalithaa |
E202785
|
entity |
| Predicate | firstTermAsChiefMinisterEnd |
P83667
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [J. Jayalalithaa, firstTermAsChiefMinisterEnd, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTermAsChiefMinisterEnd Context triple: [J. Jayalalithaa, firstTermAsChiefMinisterEnd, 1996]
-
A.
primeMinisterTermEnd
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
B.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
C.
endTimeFirstTermAsPrimeMinister
Indicates the date and time when an individual’s first term serving as prime minister comes to an end.
-
D.
termAsMinisterStart
Indicates the date or point in time when an individual begins serving in a specific ministerial position.
-
E.
firstSecretaryTermEnd
Indicates the date or point in time when an entity’s first term serving as a secretary comes to an end.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:20 p.m.