Triple
T6288295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gnaeus Julius Agricola |
E140952
|
entity |
| Predicate | termStartAsGovernorOfBritain |
P25420
|
FINISHED |
| Object | 77 |
—
|
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: 77 | Statement: [Gnaeus Julius Agricola, termStartAsGovernorOfBritain, 77]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsGovernorOfBritain Context triple: [Gnaeus Julius Agricola, termStartAsGovernorOfBritain, 77]
-
A.
termStartAsGovernorGeneralOfCanada
Indicates the date or event marking when an individual begins their term serving as Governor General of Canada.
-
B.
termStartAsGovernor
chosen
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
C.
termStartAsChancellorOfTheExchequer
Indicates the date or point in time when an individual begins serving in the role of Chancellor of the Exchequer.
-
D.
termStartAsGovernorGeneralOfIndia
Indicates the date or point in time when an individual began their tenure as Governor-General of India.
-
E.
termStartAsViceroyOfIndia
Indicates the date or point in time when an individual began serving in the role of Viceroy of India.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064182f60819093a8313e1dbf2763 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:26 p.m.