Triple
T31399164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيح داريا |
E800944
|
entity |
| Predicate | كان_مهماً_في |
P31585
|
FINISHED |
| Object | العالم الإسلامي القديم |
—
|
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: العالم الإسلامي القديم | Statement: [سيح داريا, كان_مهماً_في, العالم الإسلامي القديم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: كان_مهماً_في Context triple: [سيح داريا, كان_مهماً_في, العالم الإسلامي القديم]
-
A.
wasIn
chosen
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
B.
wasPowerfulIn
Indicates that an entity possessed significant power, influence, or effectiveness within a specified domain, context, or time period.
-
C.
كانت_قريبة_من
Indicates that one entity was physically or metaphorically close to another entity in space, time, or relationship.
-
D.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
-
E.
הייתה בעבר
Indicates that an entity existed or held a certain state, role, or property in the past but not necessarily in the present.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.