Triple
T37945117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | לירה ישראלית |
E946583
|
entity |
| Predicate | קטגוריה |
P87
|
FINISHED |
| Object | מטבעות ישראליים |
—
|
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: מטבעות ישראליים | Statement: [לירה ישראלית, קטגוריה, מטבעות ישראליים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: קטגוריה Context triple: [לירה ישראלית, קטגוריה, מטבעות ישראליים]
-
A.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
B.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
C.
classificationOf
Indicates that one entity serves as a classification, category, or type under which another entity is grouped or organized.
-
D.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
E.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
- 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.