Triple
T8201024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entertaining Passages relating to Philip's War |
E191572
|
entity |
| Predicate | typeOfSource |
P75726
|
FINISHED |
| Object | memoir-like 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: memoir-like account | Statement: [Entertaining Passages relating to Philip's War, typeOfSource, memoir-like account]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSource Context triple: [Entertaining Passages relating to Philip's War, typeOfSource, memoir-like account]
-
A.
mainSourceType
chosen
Indicates the primary category or kind of source from which something originates or is derived.
-
B.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
usesSourceType
Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
-
D.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
E.
typeOfValue
Indicates that one entity specifies the kind or category of value associated with another entity.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df6e7548190846a1afd62ec6d0a |
completed | March 31, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69cb36aac86081909b83636e352e0ced |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.