Triple
T14698693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iberica (Spanish Wars) |
E345230
|
entity |
| Predicate | describesConflictType |
P1397
|
FINISHED |
| Object | Roman wars of conquest |
—
|
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: Roman wars of conquest | Statement: [Iberica (Spanish Wars), describesConflictType, Roman wars of conquest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesConflictType Context triple: [Iberica (Spanish Wars), describesConflictType, Roman wars of conquest]
-
A.
conflictType
chosen
Indicates the specific kind or category of conflict that characterizes the relationship or interaction between entities.
-
B.
conflictDescribedIn
Indicates that a particular conflict is documented, detailed, or discussed within a specified information source or description.
-
C.
usedInConflictType
Indicates that something (such as a resource, method, or capability) is employed or applied within a specific type or category of conflict.
-
D.
featuresConflictType
Indicates that there is a specific type or category of conflict between the features or characteristics of the related entities.
-
E.
reportedConflict
Indicates that one party has formally reported the existence of a conflict involving another party or situation.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.