Triple
T17258839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinvat Bridge |
E418954
|
entity |
| Predicate | fateOfRighteous |
P126745
|
FINISHED |
| Object | bridge becomes wide and easy to cross |
—
|
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: bridge becomes wide and easy to cross | Statement: [Chinvat Bridge, fateOfRighteous, bridge becomes wide and easy to cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fateOfRighteous Context triple: [Chinvat Bridge, fateOfRighteous, bridge becomes wide and easy to cross]
-
A.
numberOfJewsSaved
Indicates the quantity of Jewish individuals who were rescued or preserved from harm, danger, or persecution in a given context.
-
B.
onlySurvivingImmediateMemberAfterHolocaust
Indicates that the subject is the sole remaining member of their immediate family who survived the Holocaust.
-
C.
survivingPerpetrators
Indicates that the referenced individuals are perpetrators of an act or event who are still alive following that act or event.
-
D.
notableRescuer
Indicates that one entity is recognized for having performed a significant or noteworthy act of rescuing another entity.
-
E.
memorializesVictimsFrom
Indicates that something serves as a memorial specifically honoring victims originating from a particular place or event.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6ea7588190a94d222504a8cef5 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:39 a.m.