Triple
T35022350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad IV of Granada |
E1010228
|
entity |
| Predicate | territorialConflictWith |
P62867
|
FINISHED |
| Object | Kingdom of Castile |
—
|
NE NERFINISHED |
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: Kingdom of Castile | Statement: [Muhammad IV of Granada, territorialConflictWith, Kingdom of Castile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territorialConflictWith Context triple: [Muhammad IV of Granada, territorialConflictWith, Kingdom of Castile]
-
A.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
B.
colonialConflictWith
Indicates a relationship in which two entities are engaged in a conflict arising from or occurring within a colonial context, typically involving control, resistance, or domination.
-
C.
associatedTerritoryDispute
chosen
Indicates that there is a territorial dispute or contested claim connected to the referenced entity or relationship.
-
D.
conflictRegion
Indicates that the entities are located in or associated with a geographic area characterized by active or recent conflict, tension, or hostilities.
-
E.
conflictGround
Indicates that one entity is the cause, basis, or subject matter of a conflict involving 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.