Triple
T26768275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Bourke, 1st Baron Connemara |
E675002
|
entity |
| Predicate | termStartAsGovernorOfMadras |
P117494
|
FINISHED |
| Object | 1886 |
—
|
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: 1886 | Statement: [Robert Bourke, 1st Baron Connemara, termStartAsGovernorOfMadras, 1886]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsGovernorOfMadras Context triple: [Robert Bourke, 1st Baron Connemara, termStartAsGovernorOfMadras, 1886]
-
A.
startTimeAsGovernorGeneral
Indicates the point in time when an individual began serving in the role of Governor General.
-
B.
termStartAsGovernorGeneralOfIndia
Indicates the date or point in time when an individual began their tenure as Governor-General of India.
-
C.
termStartAsViceroyOfIndia
Indicates the date or point in time when an individual began serving in the role of Viceroy of India.
-
D.
startOfTermAsSubahdarOfBengal
Indicates the time at which an individual begins their tenure or appointment as the Subahdar (provincial governor) of Bengal.
-
E.
officeStartTime (Governor of Madras)
chosen
Indicates the time at which the Governor of Madras officially began their term in 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:01 a.m.