Triple
T1478803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Royal |
E30902
|
entity |
| Predicate | notUsedIfMonarchHasNoDaughters |
P29230
|
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: [Princess Royal, notUsedIfMonarchHasNoDaughters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notUsedIfMonarchHasNoDaughters Context triple: [Princess Royal, notUsedIfMonarchHasNoDaughters, true]
-
A.
usedInMonarchy
Indicates that something is employed, practiced, or functions within the context of a monarchical system of government.
-
B.
hasHeirApparentFunction
Indicates that an entity has a designated heir apparent role or function assigned to it.
-
C.
monarchUntil
Indicates that an entity served as monarch over another entity up to, but not beyond, a specified end time or event.
-
D.
onlyDaughterOf
Indicates that the subject is the one and only female child (daughter) of the specified parent or parents.
-
E.
continuedUnderMonarch
Indicates that an entity, such as an office, institution, or status, persisted without interruption during the reign of a specified monarch.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6739d2481909ea8d8e075f62cf3 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c57984088190b2c2d2d9cc2e5df9 |
completed | March 1, 2026, 11:02 p.m. |
Created at: March 1, 2026, 8:11 p.m.