Triple
T12089951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | שמעון פרס |
E287914
|
entity |
| Predicate | סיבת זכייה |
P103438
|
FINISHED |
| Object | תרומתו לתהליך השלום במזרח התיכון |
—
|
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: תרומתו לתהליך השלום במזרח התיכון | Statement: [שמעון פרס, סיבת זכייה, תרומתו לתהליך השלום במזרח התיכון]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: סיבת זכייה Context triple: [שמעון פרס, סיבת זכייה, תרומתו לתהליך השלום במזרח התיכון]
-
A.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
-
B.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
C.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
D.
מאפיין לוח
Indicates a relationship where something serves as a characteristic, property, or defining feature of a board.
-
E.
שייך ללוח
Indicates that something belongs to or is associated with a particular board.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9178814e081908f67e3846718530e |
completed | April 10, 2026, 3:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.