Triple
T25192399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Noailles |
E630905
|
entity |
| Predicate | militaryInfluencePeriod |
P145959
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Duke of Noailles, militaryInfluencePeriod, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryInfluencePeriod Context triple: [Duke of Noailles, militaryInfluencePeriod, 18th century]
-
A.
militaryInfluence
Indicates the extent to which one entity affects, shapes, or controls another entity through military power, presence, or capability.
-
B.
timePeriodOfMajorMilitaryActivity
chosen
Indicates the time span during which the primary or most significant military operations associated with an entity took place.
-
C.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
D.
militaryHistoryTopic
Indicates that there exists a relationship where the subject is a topic, theme, or subject matter specifically concerned with military history.
-
E.
warPeriod
Indicates a time span during which a state of war or armed conflict is ongoing between parties.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 21, 2026, 12:45 p.m.