Triple
T12950913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross |
E309887
|
entity |
| Predicate | isTypicallyConferredBy |
P54568
|
FINISHED |
| Object | head of state |
—
|
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: head of state | Statement: [Grand Cross, isTypicallyConferredBy, head of state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallyConferredBy Context triple: [Grand Cross, isTypicallyConferredBy, head of state]
-
A.
traditionallyConferredBy
chosen
Indicates that something (such as a role, title, or honor) is customarily or historically granted or bestowed by a particular person, group, or institution.
-
B.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
C.
mayBeConferredAs
Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
-
D.
degreeGrantedBy
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
E.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.