Triple
T12159374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Salman of Saudi Arabia |
E289663
|
entity |
| Predicate | startTimeAsGovernorOfRiyadh |
P25420
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [King Salman of Saudi Arabia, startTimeAsGovernorOfRiyadh, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsGovernorOfRiyadh Context triple: [King Salman of Saudi Arabia, startTimeAsGovernorOfRiyadh, 1963]
-
A.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
B.
termStartAsGovernor
chosen
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
C.
startTimeAsLieutenantGovernor
Indicates the date and time at which an individual began serving in the role of lieutenant governor.
-
D.
startTimeAsGovernorOfKentuckyFirstTerm
Indicates the date and time when an individual’s first term serving as Governor of Kentucky began.
-
E.
startTime as Ruler of Dubai
Indicates the point in time at which an individual began their tenure as the ruler of Dubai.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.