Triple
T934574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Sirach |
E20165
|
entity |
| Predicate | survivesIn |
P21744
|
FINISHED |
| Object | medieval Hebrew manuscripts |
—
|
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: medieval Hebrew manuscripts | Statement: [Book of Sirach, survivesIn, medieval Hebrew manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivesIn Context triple: [Book of Sirach, survivesIn, medieval Hebrew manuscripts]
-
A.
survivingStructure
Indicates that a structure continues to exist or remain intact after a potentially destructive event or over a significant period of time.
-
B.
hasSurvivors
Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
-
C.
survivorTerm
Indicates that one entity is designated as the surviving or remaining party in relation to another entity, often after a loss, termination, or adverse event.
-
D.
survivedEvent
Indicates that an entity continued to live or exist after experiencing and not being destroyed or killed by a particular event.
-
E.
supportsLife
Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.