Triple
T26500314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الملك فهد بن عبد العزيز آل سعود |
E669400
|
entity |
| Predicate | العاصمة في عهده |
P108259
|
FINISHED |
| Object | الرياض |
—
|
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: الرياض | Statement: [الملك فهد بن عبد العزيز آل سعود, العاصمة في عهده, الرياض]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: العاصمة في عهده Context triple: [الملك فهد بن عبد العزيز آل سعود, العاصمة في عهده, الرياض]
-
A.
بني في عهد
Indicates that something was constructed during the reign or rule of a particular person or authority.
-
B.
servedAsCapitalDuring
Indicates that a place functioned as the official capital of a political entity during a specified time period.
-
C.
capitalCityDuringEra
Indicates that a particular city served as the capital of an entity (such as a country or region) during a specified historical era or time period.
-
D.
capitalOfHisKingdom
Indicates that one entity serves as the capital city of the kingdom ruled or possessed by another entity.
-
E.
capitalOfRealmDuringReign
chosen
Indicates that a particular city or place served as the capital of a realm specifically during the time span of a given ruler’s reign.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61359bf448190bca39cbd22a9f023 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:12 a.m.