Triple
T12159377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Salman of Saudi Arabia |
E289663
|
entity |
| Predicate | startTimeAsCrownPrince |
P87924
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [King Salman of Saudi Arabia, startTimeAsCrownPrince, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsCrownPrince Context triple: [King Salman of Saudi Arabia, startTimeAsCrownPrince, 2012]
-
A.
reignAsCrownPrinceFrom
Indicates the period during which a person holds and exercises the official status and role of crown prince of a particular realm or title.
-
B.
appointedCrownPrinceDate
chosen
Indicates the date on which an individual was formally appointed to the position of crown prince.
-
C.
startTimeAsKing
Indicates the point in time at which an individual begins their reign or role as king.
-
D.
becameCrownPrincessOn
Indicates the date on which an individual assumed the title and role of crown princess.
-
E.
startTimeAsKingOfValencia
Indicates the point in time when an entity begins its reign or rule as the king of Valencia.
- 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.