Triple
T652245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jewish War |
E11368
|
entity |
| Predicate | book7Content |
P16934
|
FINISHED |
| Object | aftermath of the war and fall of Masada |
—
|
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: aftermath of the war and fall of Masada | Statement: [The Jewish War, book7Content, aftermath of the war and fall of Masada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book7Content Context triple: [The Jewish War, book7Content, aftermath of the war and fall of Masada]
-
A.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
B.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
C.
section7Provides
Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
-
D.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
-
E.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f35acb08190a3a8248023ce07f9 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.