Triple
T10940690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad bin Saud |
E258461
|
entity |
| Predicate | stateTypeFounded |
P96754
|
FINISHED |
| Object | Islamic polity |
—
|
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: Islamic polity | Statement: [Muhammad bin Saud, stateTypeFounded, Islamic polity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateTypeFounded Context triple: [Muhammad bin Saud, stateTypeFounded, Islamic polity]
-
A.
stateFoundedIn
Indicates that a particular state was established or came into existence in a specified year or time period.
-
B.
stateFounded
Indicates that a particular state was established or created at a specific time or by a specific founding event or agent.
-
C.
statehoodYear
Indicates the year in which an entity officially became a recognized state or attained statehood status.
-
D.
countryEstablishedFor
Indicates that a country was founded, created, or formally established for the benefit, purpose, or use of a particular entity or group.
-
E.
countryFormed
Indicates that one country was created, established, or came into existence as a result of another country or political entity.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c2821c8190a7b08276c4bfbf33 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.