Triple
T35874926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | יד אבשלום |
E1037330
|
entity |
| Predicate | קישור מקראי |
P171850
|
FINISHED |
| Object | סיפור מרד אבשלום בדוד המלך |
—
|
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: סיפור מרד אבשלום בדוד המלך | Statement: [יד אבשלום, קישור מקראי, סיפור מרד אבשלום בדוד המלך]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: קישור מקראי Context triple: [יד אבשלום, קישור מקראי, סיפור מרד אבשלום בדוד המלך]
-
A.
linkedRight
Indicates that one entity is directly connected or positioned to the right of another entity in a sequence or structure.
-
B.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
C.
נקראים
Indicates that entities are named, called, or referred to by a particular term or title.
-
D.
textLinkedTo
chosen
Indicates that one piece of text is connected or associated with another, such as through a hyperlink, reference, or explicit textual relation.
-
E.
linkedDocument
Indicates that one document is associated with or references another document in a meaningful way.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.