Triple
T33659887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governorate of Saudi Arabia |
E862321
|
entity |
| Predicate | classificationCriteria |
P69148
|
FINISHED |
| Object | population size |
—
|
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: population size | Statement: [Governorate of Saudi Arabia, classificationCriteria, population size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationCriteria Context triple: [Governorate of Saudi Arabia, classificationCriteria, population size]
-
A.
usesClassificationCriteria
chosen
Indicates that one entity applies specific classification criteria to categorize, organize, or evaluate another entity.
-
B.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
C.
recognizedCriterion
Indicates that something is acknowledged or accepted as a valid standard, measure, or basis for judgment in a given context.
-
D.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
E.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:42 a.m.