Triple
T37945011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קו ירוק |
E946581
|
entity |
| Predicate | נקבע לאחר |
P189646
|
FINISHED |
| Object | מלחמת העצמאות |
—
|
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: מלחמת העצמאות | Statement: [קו ירוק, נקבע לאחר, מלחמת העצמאות]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: נקבע לאחר Context triple: [קו ירוק, נקבע לאחר, מלחמת העצמאות]
-
A.
הנצחה
Indicates a relationship where someone or something is commemorated or memorialized so that their memory, deeds, or significance are preserved over time.
-
B.
נשא
Indicates a relationship where one entity carries, bears, lifts, or takes up another entity (physically, emotionally, or metaphorically).
-
C.
קיבל
Indicates that an entity received or was given something from another entity.
-
D.
מוצא אתני
Indicates an ethnic origin relationship, specifying the ethnic group or background an entity belongs to.
-
E.
الضفة
Indicates a spatial relationship where something is located on or associated with a particular bank or side of a river, sea, or similar boundary.
- 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_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. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.