Triple
T33314997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Princess of Denmark |
E852990
|
entity |
| Predicate | notSovereign |
P95091
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Crown Princess of Denmark, notSovereign, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notSovereign Context triple: [Crown Princess of Denmark, notSovereign, true]
-
A.
isNonSovereign
chosen
Indicates that an entity lacks full independent governing authority and is subject to the sovereignty of another state or higher political authority.
-
B.
notSovereignTerritory
Indicates that a location or region is not recognized as an independent sovereign territory under its own full governmental authority.
-
C.
neverEffectivelyRuled
Indicates that the subject was formally in a position of authority over the object but at no point exercised real or effective control or governance.
-
D.
hasDeFactoSovereign
Indicates that one entity effectively exercises sovereign authority or control over another entity in practice, regardless of formal or legal recognition.
-
E.
hasSovereignState
Indicates that one entity is the sovereign state that has ultimate authority or jurisdiction over 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:33 a.m.