Triple
T4412020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Al Falasi |
E94871
|
entity |
| Predicate | roleInUAE |
P55475
|
FINISHED |
| Object | provides rulers of the Emirate of Dubai |
—
|
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: provides rulers of the Emirate of Dubai | Statement: [House of Al Falasi, roleInUAE, provides rulers of the Emirate of Dubai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInUAE Context triple: [House of Al Falasi, roleInUAE, provides rulers of the Emirate of Dubai]
-
A.
roleInMedina
Indicates the specific function, position, or responsibility an entity holds within the context of Medina.
-
B.
roleInSaudiVision2030
Indicates that an entity has a specific function, responsibility, or contribution within the framework, initiatives, or objectives of Saudi Vision 2030.
-
C.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
D.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city context.
-
E.
roleInCanada
Indicates that one entity holds or performs a specific role, position, or function within the context of Canada.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e656dc819093ca8395d7334006 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:29 p.m.