Triple
T312279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riyadh |
E7632
|
entity |
| Predicate | foundedAsSettlement |
P364
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Riyadh, foundedAsSettlement, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsSettlement Context triple: [Riyadh, foundedAsSettlement, 18th century]
-
A.
originalSettlement
Indicates that one entity is the initial or first-established settlement location associated with another entity.
-
B.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
C.
placeFounded
Indicates the location where an entity (such as an organization or institution) was originally established or founded.
-
D.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
E.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.