Triple
T26190194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Valois-Burgundy |
E654939
|
entity |
| Predicate | acquiredTerritoryThrough |
P45294
|
FINISHED |
| Object | marriage alliances |
—
|
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: marriage alliances | Statement: [House of Valois-Burgundy, acquiredTerritoryThrough, marriage alliances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredTerritoryThrough Context triple: [House of Valois-Burgundy, acquiredTerritoryThrough, marriage alliances]
-
A.
acquiredTerritoryBy
chosen
Indicates a relationship where one entity gains control or ownership of a territory through a specific means, event, or process.
-
B.
acquiredTerritoryFrom
Indicates that one entity gained control or ownership of a territory that previously belonged to another entity.
-
C.
territoryAcquired
Indicates that one entity has gained control, ownership, or possession of a geographic area from another entity.
-
D.
gainedTerritory
Indicates that one entity has acquired control over additional land or area from another entity or from a neutral state.
-
E.
lastTerritoriesConqueredBy
Indicates that the referenced territories are the most recent ones taken control of through conquest by a specified 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60ca177ac81908b2bfd6b7c0f93e3 |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:44 p.m.