Triple
T16364805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Field of the Cloth of Gold |
E397406
|
entity |
| Predicate | involvedMilitaryPresence |
P14275
|
FINISHED |
| Object | large royal retinues |
—
|
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: large royal retinues | Statement: [Field of the Cloth of Gold, involvedMilitaryPresence, large royal retinues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedMilitaryPresence Context triple: [Field of the Cloth of Gold, involvedMilitaryPresence, large royal retinues]
-
A.
hasMilitaryPresence
chosen
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
B.
militaryActivity
Indicates that an entity is engaged in, associated with, or affected by actions, operations, or preparations conducted by armed forces.
-
C.
nearMilitaryInstallation
Indicates that one entity is located in close physical proximity to a military installation or facility.
-
D.
militaryForceUsed
Indicates that one entity employs or applies military power or armed force against, within, or in relation to another entity or situation.
-
E.
militarySupportActivity
Indicates an action where one entity provides military-related assistance, resources, or operational support to another.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3bb5e481909669164a37d76b19 |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.