Triple
T749952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl |
E15423
|
entity |
| Predicate | associatedWithFeudalSystem |
P18765
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Earl, associatedWithFeudalSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFeudalSystem Context triple: [Earl, associatedWithFeudalSystem, yes]
-
A.
isFeudal
Indicates that one entity holds a feudal relationship to another, typically involving hierarchical obligations such as land tenure, service, or allegiance.
-
B.
feudalStatus
Indicates the hierarchical social or legal position an entity holds within a feudal system, such as lord, vassal, or serf.
-
C.
medievalState
Indicates that an entity functioned as a state or political unit during the medieval historical period.
-
D.
associatedWithMonarchyType
Indicates that an entity has a connection or relevance to a particular type or form of monarchy.
-
E.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
- F. None of above. chosen
Provenance (4 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6304e0c8190827fb57c5cac2da9 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a5004f708190a984ee221716e19c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.