Triple
T28585992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Consort |
E723505
|
entity |
| Predicate | impliesLackOf |
P13714
|
FINISHED |
| Object | sovereign authority in her own right |
—
|
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: sovereign authority in her own right | Statement: [Princess Consort, impliesLackOf, sovereign authority in her own right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesLackOf Context triple: [Princess Consort, impliesLackOf, sovereign authority in her own right]
-
A.
implies
Indicates that the truth of one statement guarantees or leads logically to the truth of another statement.
-
B.
doesNotImply
Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
-
C.
typicallyLack
chosen
Indicates that one entity is characteristically or usually without, or does not possess, another entity or attribute.
-
D.
deprivedOf
Indicates that an entity has had something taken away or withheld, resulting in a lack or absence of that thing.
-
E.
hasNoEvidenceOf
Indicates that there is no supporting proof, data, or documentation confirming the existence or occurrence of the referenced condition, event, or relationship.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 4:17 a.m.