Triple
T1296614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Duke of Tuscany |
E27666
|
entity |
| Predicate | laterGovernmentForm |
P18912
|
FINISHED |
| Object | constitutional 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: constitutional monarchy | Statement: [Grand Duke of Tuscany, laterGovernmentForm, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterGovernmentForm Context triple: [Grand Duke of Tuscany, laterGovernmentForm, constitutional monarchy]
-
A.
associatedWithGovernmentForm
chosen
Indicates a relationship in which an entity is linked or connected to a particular form or type of government.
-
B.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
C.
governmentFormAfterElection
Indicates the type of government that is established or results following an election.
-
D.
formedGovernmentIn
Indicates that an entity established or took office as the governing authority of a political unit in a specified place or jurisdiction.
-
E.
filingForm
Indicates that an entity submits or completes a specific form or document, typically as part of an official or administrative process.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.