Triple
T22660546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مقبرة العود |
E559648
|
entity |
| Predicate | تعد من |
P1120
|
FINISHED |
| Object | أقدم مقابر مدينة الرياض |
—
|
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: أقدم مقابر مدينة الرياض | Statement: [مقبرة العود, تعد من, أقدم مقابر مدينة الرياض]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تعد من Context triple: [مقبرة العود, تعد من, أقدم مقابر مدينة الرياض]
-
A.
tends
Indicates that one entity regularly or characteristically behaves in a certain way or moves toward a particular state or outcome in relation to another.
-
B.
considered
chosen
Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
-
C.
consideredPartOf
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
-
D.
considersItself
Indicates that an entity regards or perceives itself in a particular way, role, or state.
-
E.
tendsToSupport
Indicates that one entity is generally inclined or likely to provide backing, assistance, or endorsement to another entity or its position.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765edf88819086c28525e3c73758 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.