Triple
T37945009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קו ירוק |
E946581
|
entity |
| Predicate | כינוי של |
P184764
|
FINISHED |
| Object | קו שביתת הנשק של 1949 |
—
|
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: קו שביתת הנשק של 1949 | Statement: [קו ירוק, כינוי של, קו שביתת הנשק של 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: כינוי של Context triple: [קו ירוק, כינוי של, קו שביתת הנשק של 1949]
-
A.
propNickname
chosen
Indicates that one entity is used as a nickname or informal alternative name for another entity.
-
B.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to another entity.
-
C.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
-
D.
dedicatedToOrNicknameOf
Indicates that one entity is either the dedicatee of something (e.g., a work, object, or honor) or serves as an alternative name or nickname for another entity.
-
E.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.