Triple
T29447942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Thérouanne (1513) |
E746899
|
entity |
| Predicate | hasMonarchOfDefender |
P79187
|
FINISHED |
| Object | Louis XII of France |
—
|
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: Louis XII of France | Statement: [Siege of Thérouanne (1513), hasMonarchOfDefender, Louis XII of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonarchOfDefender Context triple: [Siege of Thérouanne (1513), hasMonarchOfDefender, Louis XII of France]
-
A.
monarchOfDefendingSide
Indicates that one entity is the reigning monarch who rules or leads the side that is defending in a conflict, dispute, or competition.
-
B.
hasConqueringKing
Indicates that an entity has a king who has conquered or taken control over it or its territory.
-
C.
opponentMonarch
Indicates that one monarch stands in an opposing or adversarial position to another monarch, typically in conflict or competition.
-
D.
opposingMonarch
Indicates that two monarchs are in opposition to each other, typically as rivals, enemies, or leaders of conflicting factions or states.
-
E.
monarchDuringBattle
chosen
Indicates that one entity is the reigning monarch at the time when the other entity (a specific battle) takes place.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 28, 2026, 3:29 p.m.