Triple
T27146878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نتسيرت عيليت |
E681973
|
entity |
| Predicate | ترتبط_بطريق |
P125958
|
FINISHED |
| Object | الطريق 75 في إسرائيل |
—
|
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: الطريق 75 في إسرائيل | Statement: [نتسيرت عيليت, ترتبط_بطريق, الطريق 75 في إسرائيل]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتبط_بطريق Context triple: [نتسيرت عيليت, ترتبط_بطريق, الطريق 75 في إسرائيل]
-
A.
مرتبطب
chosen
Indicates a relationship of being connected, associated, or related to something or someone.
-
B.
opusRelationship
Indicates a relationship between creative works (opuses), such as versions, adaptations, or parts within a larger compositional whole.
-
C.
ترتبط بسيرة
Indicates a relationship in which something is connected or related to a biography or life story.
-
D.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
E.
الموقف_في_حادثة_الفيل
Indicates the stance or role an entity took in relation to the Event of the Elephant incident.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f624c6dff08190ba0573eba9d63449 |
completed | May 2, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:12 a.m.