Triple
T18764372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ארבע ערי הקודש |
E458854
|
entity |
| Predicate | מעמד מסורתי |
P127283
|
FINISHED |
| Object | ערי קודש ליישוב הישן |
—
|
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: ערי קודש ליישוב הישן | Statement: [ארבע ערי הקודש, מעמד מסורתי, ערי קודש ליישוב הישן]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מעמד מסורתי Context triple: [ארבע ערי הקודש, מעמד מסורתי, ערי קודש ליישוב הישן]
-
A.
מעמד_משפטי
chosen
Indicates a legal status or standing relationship that specifies the formal judicial or legal position of an entity within a legal system or proceeding.
-
B.
סיבת זכייה
Indicates the reason or cause for which an entity wins or is awarded something.
-
C.
שנת זכייה
Indicates the specific year in which an award, prize, or competition was won.
-
D.
זמנם
Indicates a relationship involving the time allotted to, belonging to, or associated with certain entities (e.g., “their time”).
-
E.
ייחוס
Indicates an attribution or assignment relationship, where a property, role, or characteristic is ascribed from one entity to another.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.