Triple
T24812516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of Diriyah |
E620825
|
entity |
| Predicate | outcomeForDiriyah |
P157369
|
FINISHED |
| Object | city largely razed |
—
|
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: city largely razed | Statement: [siege of Diriyah, outcomeForDiriyah, city largely razed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeForDiriyah Context triple: [siege of Diriyah, outcomeForDiriyah, city largely razed]
-
A.
outcomeForAbbasids
Indicates the result or consequence that an event, action, or situation has specifically for the Abbasids.
-
B.
outcomeForOttomans
Indicates the result or consequence experienced by the Ottoman side in a given event, action, or situation.
-
C.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
D.
establishedThirdSaudiState
Indicates that an entity founded or brought into existence the Third Saudi State (the modern Kingdom of Saudi Arabia).
-
E.
outcomeOfTrial
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f42b11251881908070b93355de64ad |
completed | May 1, 2026, 4:24 a.m. |
Created at: April 18, 2026, 4:51 a.m.