Triple
T28151751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Gowrie |
E714636
|
entity |
| Predicate | officeStartTime (Governor of South Australia) |
P194068
|
FINISHED |
| Object | 1934 |
—
|
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: 1934 | Statement: [Lord Gowrie, officeStartTime (Governor of South Australia), 1934]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Governor of South Australia) Context triple: [Lord Gowrie, officeStartTime (Governor of South Australia), 1934]
-
A.
officeStart (Governor of South Australia)
Indicates the date on which an individual officially began serving as Governor of South Australia.
-
B.
officeStartTime (Premier of Victoria)
Indicates the time at which the Premier of Victoria officially begins their term in office.
-
C.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
D.
officeStartTime (Prime Minister of Australia)
Indicates the date and time at which the person began serving as Prime Minister of Australia.
-
E.
officeStartTime (Governor of Madras)
Indicates the time at which the Governor of Madras officially began their term in office.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: April 27, 2026, 9:59 p.m.