Triple
T3803275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duke of Berg |
E91739
|
entity |
| Predicate | governmentFormOfState |
P21555
|
FINISHED |
| Object | monarchy |
—
|
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: monarchy | Statement: [Grand Duke of Berg, governmentFormOfState, monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormOfState Context triple: [Grand Duke of Berg, governmentFormOfState, monarchy]
-
A.
governmentFormOfRuledState
chosen
Indicates the type of governmental system or structure by which a particular state or territory is ruled.
-
B.
foundingState
Indicates that a state or entity played a primary role in establishing or creating another organization, institution, or political entity.
-
C.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
D.
stateForm
Indicates that an entity has the political or constitutional form of a particular state or system of government.
-
E.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.