Triple
T30295762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Servant of the Two Noble Sanctuaries |
E770513
|
entity |
| Predicate | modernUsagePrimarilyBy |
P10000
|
FINISHED |
| Object | Saudi monarchs |
—
|
NE NERFINISHED |
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: Saudi monarchs | Statement: [Servant of the Two Noble Sanctuaries, modernUsagePrimarilyBy, Saudi monarchs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernUsagePrimarilyBy Context triple: [Servant of the Two Noble Sanctuaries, modernUsagePrimarilyBy, Saudi monarchs]
-
A.
modernUse
Indicates how something is currently used or applied in modern times.
-
B.
usedPrimarilyIn
chosen
Indicates that something is mainly or most commonly employed within a particular context, domain, or purpose.
-
C.
modernUsageContext
Indicates the contemporary or current context in which something is used, applied, or functions.
-
D.
modernUsageRegion
Indicates the geographic region where something is currently or most commonly used in modern times.
-
E.
statusInModernUsage
Indicates how the usage or relevance of something is currently regarded or applied in contemporary contexts.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 7:48 p.m.