Triple
T14096290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel bat Kalba Savua |
E339260
|
entity |
| Predicate | yearsOfSeparation |
P100488
|
FINISHED |
| Object | 24 years (traditional account) |
—
|
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: 24 years (traditional account) | Statement: [Rachel bat Kalba Savua, yearsOfSeparation, 24 years (traditional account)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsOfSeparation Context triple: [Rachel bat Kalba Savua, yearsOfSeparation, 24 years (traditional account)]
-
A.
separationYear
Indicates the year in which two entities ended or dissolved their relationship or association.
-
B.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
C.
separationPeriod
chosen
Indicates the duration or interval of time during which two entities are separated from each other.
-
D.
marriageEndedBy
Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
-
E.
maritalPeriodWith
Indicates the time span during which two entities were married to each other.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.