Triple
T5219054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constance of Sicily |
E117822
|
entity |
| Predicate | regnalStatus |
P3712
|
FINISHED |
| Object | sovereign queen |
—
|
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 queen | Statement: [Constance of Sicily, regnalStatus, sovereign queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regnalStatus Context triple: [Constance of Sicily, regnalStatus, sovereign queen]
-
A.
regulationStatus
Indicates the regulatory condition or compliance state that applies to an entity under relevant rules or laws.
-
B.
governsStatus
Indicates that one entity has authoritative control or regulatory influence over the status or condition of another entity.
-
C.
grantedStatus
Indicates that an entity has been officially approved or given a particular status, permission, or privilege.
-
D.
deFactoStatus
chosen
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
-
E.
designationStatus
Indicates the current official classification or standing assigned to an entity within a defined system or 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ab6e63c8190964b2b65a0206134 |
completed | March 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.