Triple
T31248577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | יששכר |
E796753
|
entity |
| Predicate | בן כמה היה יעקב בלידתו |
P171484
|
FINISHED |
| Object | כ־86 |
—
|
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: כ־86 | Statement: [יששכר, בן כמה היה יעקב בלידתו, כ־86]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: בן כמה היה יעקב בלידתו Context triple: [יששכר, בן כמה היה יעקב בלידתו, כ־86]
-
A.
semanticOriginOfJacob
Indicates that something is the semantic or conceptual source, basis, or origin of Jacob.
-
B.
birthOrderAmongSonsOfJacobByMother
Indicates the relative birth position of a son among Jacob’s sons born to the same mother.
-
C.
bornDuring
Indicates that an entity’s birth occurred within the temporal span of a specified event, period, or time interval.
-
D.
born
Indicates that an entity comes into existence at a specific time and place, typically from parent entities.
-
E.
describedAsInJacobBlessing
Indicates that an entity is characterized or portrayed in the specific manner it appears within Jacob’s blessing narrative (e.g., in Genesis 49).
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:11 p.m.