Triple
T29305605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharana Fateh Singh |
E743084
|
entity |
| Predicate | countryDuringReign |
P198728
|
FINISHED |
| Object | British India |
—
|
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: British India | Statement: [Maharana Fateh Singh, countryDuringReign, British India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuringReign Context triple: [Maharana Fateh Singh, countryDuringReign, British India]
-
A.
countryRuled
Indicates that one entity exercises governing authority or political control over a country.
-
B.
countryOfMonarchy
Indicates that a monarchy is associated with or rules over a particular country.
-
C.
countryOfRegency
Indicates the country in which a regency (a period or institution of rule by a regent) is exercised or holds authority.
-
D.
headOfStateDuringReign
Indicates that one entity served as the head of state for another entity during a specified reign or ruling period.
-
E.
capitalDuringReign
Indicates that a particular city or location served as the capital of a political entity during the reign of a specified ruler.
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 28, 2026, 1:13 p.m.