Triple
T33612190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakir Husain |
E861017
|
entity |
| Predicate | successorAsVicePresidentOfIndia |
P3000
|
FINISHED |
| Object | Varahagiri Venkata Giri |
—
|
NE NERFINISHED |
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: Varahagiri Venkata Giri | Statement: [Zakir Husain, successorAsVicePresidentOfIndia, Varahagiri Venkata Giri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsVicePresidentOfIndia Context triple: [Zakir Husain, successorAsVicePresidentOfIndia, Varahagiri Venkata Giri]
-
A.
successorInIndia
Indicates that one entity directly follows or replaces another in a role, position, or sequence within the context of India.
-
B.
successorAsGovernorGeneralOfIndia
Indicates that one person assumed the role of Governor-General of India immediately after another person, succeeding them in that office.
-
C.
successorAsHeadOfState
Indicates that one person directly follows another in holding the position of head of state.
-
D.
succeededAsVicePresidentBy
chosen
Indicates that one individual ceased serving as vice president and was followed in that office by another specific individual.
-
E.
successorAsFirstMinister
Indicates that one person assumes the role of First Minister immediately after another person, succeeding them in that office.
- 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_69f3498037c88190a4500f002b5540e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: May 1, 2026, 1:41 a.m.